## Qualifications
* Fluent in English (native or bilingual)
* Detail-oriented with strong analytical skills
* Proficient in financial analysis, financial modeling, and data analysis
## Benefits
* Flexible full-time or part-time schedule
* Select projects that match your interests
* Competitive pay starting at $50-$60 per hour with bonuses for outstanding performance
## Responsibilities
* Your role will involve measuring the progress of these models, evaluating their logic, and solving problems to elevate the quality of our outputs
* Challenge AI chatbots with diverse and complex financial problems
* Assess the quality and performance of AI-generated outputs
* All transactions will be handled securely through PayPal

## Full Description
Join our dynamic team as a FinTech Product Analyst specializing in AI model training! We are searching for a finance expert to help us enhance our AI chatbots. Your role will involve measuring the progress of these models, evaluating their logic, and solving problems to elevate the quality of our outputs.

Why Work With Us?

• Flexible full-time or part-time schedule

• Select projects that match your interests

• Competitive pay starting at $50-$60 per hour with bonuses for outstanding performance

Key Responsibilities:

• Challenge AI chatbots with diverse and complex financial problems

• Assess the quality and performance of AI-generated outputs

Qualifications:

• Fluent in English (native or bilingual)

• Detail-oriented with strong analytical skills

• Proficient in financial analysis, financial modeling, and data analysis

• A completed or in-progress Masters and/or PhD in a related field is preferred but not mandatory

Note: We assure you that payment will be made via PayPal, and we will never request any money from you. All transactions will be handled securely through PayPal. This position is offered as an independent contract role.



Job highlights
Identified by Google from the original job post
Qualifications
• The ideal candidate will focus on building production-grade AI agents and intelligent workflows on top of enterprise datasets and internal applications
• Backend (Primary – Must Have)
• Strong proficiency in Python
• Hands-on experience with FastAPI
• Strong SQL skills
• Experience with PostgreSQL
• Experience designing APIs and production systems
• AI / Agentic Frameworks (Critical)
• Hands-on experience with LangGraph
• Strong understanding of:
• Agent orchestration
• Prompt engineering
• Experience building production-ready AI agents
• Working knowledge of TypeScript
• Ability to support UI changes when required
• 12 more items(s)
Responsibilities
• This role requires a highly execution-driven engineer capable of delivering immediate impact in a fast-paced environment
• Delivery Call
• Customer Technical Interview (Zoom)
• In-Person Customer Meeting
• Build and deploy AI agents using LangGraph
• Develop backend-heavy AI solutions using Python and FastAPI
• Design and implement:
• RAG pipelines
• Text-to-SQL systems
• Prompt-engineered agent workflows
• Business data summarization tools
• Integrate AI capabilities into existing enterprise applications
• Work with structured datasets, particularly PostgreSQL
• Collaborate closely with business teams and AI leadership
• Support frontend updates using TypeScript when required
• 12 more items(s)
More job highlights
Job description
Job Title: Sr. Python Engineer / Gen AI Engineer (LangGraph)

Location: New York ,NY (Onsite role)

Job Type: Permanent / Contract-to-Hire (CTH)

Role Overview

We are seeking a Senior Python Backend–Heavy Full Stack AI Engineer with hands-on experience in LangGraph and Agentic AI systems.

The ideal candidate will focus on building production-grade AI agents and intelligent workflows on top of en...terprise datasets and internal applications. This role requires a highly execution-driven engineer capable of delivering immediate impact in a fast-paced environment.

Interview Process

• Technical Interview

• Delivery Call

• Customer Technical Interview (Zoom)

• In-Person Customer Meeting

Core Responsibilities

• Build and deploy AI agents using LangGraph

• Develop backend-heavy AI solutions using Python and FastAPI

• Design and implement:

• RAG pipelines

• Text-to-SQL systems

• Prompt-engineered agent workflows

• Business data summarization tools

• Integrate AI capabilities into existing enterprise applications

• Work with structured datasets, particularly PostgreSQL

• Collaborate closely with business teams and AI leadership

• Support frontend updates using TypeScript when required

Required Technical Skills

Backend (Primary – Must Have)

• Strong proficiency in Python

• Hands-on experience with FastAPI

• Strong SQL skills

• Experience with PostgreSQL

• Experience designing APIs and production systems

AI / Agentic Frameworks (Critical)

• Hands-on experience with LangGraph

• Strong understanding of:

• Agent orchestration

• Prompt engineering

• RAG architectures

• Text-to-SQL pipelines

• Experience building production-ready AI agents

Frontend (Secondary)

• Working knowledge of TypeScript

• Ability to support UI changes when required
Show full description
Report this listing
Loading...

Job highlights
Identified by Google from the original job post
Qualifications
• The ideal candidate will possess a blend of robust technical expertise in cutting-edge AI technologies and consulting acumen to ensure clients derive meaningful value from new technologies
• A Bachelor’s degree is required
• A minimum of seven (7) years of experience in delivering AI, software, or data-centric solutions
• At least two (2) years in a leadership or client-facing consulting role
• Proven experience in designing or implementing Generative AI systems within cloud environments such as Azure or AWS
• Familiarity with key Generative AI patterns, including:
• RAG (Retrieval-Augmented Generation)
• Agent frameworks for orchestrated multi-step reasoning
• Evaluation and observability practices
• Proficiency in Python and experience with AI/LLM integration via APIs or SDKs
• In-depth understanding of AI architecture, data integration, and model lifecycle management
• Demonstrated ability to lead teams using Agile and DevOps methodologies with experience in sprint management and continuous delivery
• Strong communication, stakeholder engagement, and problem-solving skills
• A Master's degree
• Experience with Amazon Bedrock, SageMaker, or other AWS AI services
• Understanding of AI governance and risk management frameworks
• Experience in regulated or complex environments such as energy, infrastructure, or the public sector
• 14 more items(s)
Benefits
• The annual salary range for this position is $118,000.00-$196,000.00, and compensation decisions are influenced by various factors, including skills, experience, security clearances, certifications, and organizational needs
• Guidehouse provides a comprehensive total rewards package that includes competitive pay and a flexible benefits selection, reflecting our commitment to a diverse and supportive workplace
• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Potential for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life Insurance
• Health Savings Account and Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement and Learning Opportunities
• Skills Development and Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend
• 14 more items(s)
Responsibilities
• Travel Required: Up to 10%
• What You Will Do: We are looking for a passionate Lead AI Development Specialist to spearhead the design, development, and delivery of innovative AI solutions, with a focus on Generative AI, aimed at transforming client operations through intelligent automation
• This hands-on role requires a dynamic leader to guide agile teams in the creation of AI-driven Minimum Viable Products (MVPs), while providing strategic advice on architecture, deployment, and governance
• Drive the comprehensive delivery of AI MVPs, starting from use case identification through to demonstration and refinement, collaborating closely with clients throughout the process
• Architect solutions and technical roadmaps that effectively integrate AI components within client cloud infrastructures
• Supervise model development, validation, and integration with user interfaces to produce functional prototypes
• Facilitate MVP demonstrations to stakeholders, gather feedback, and iterate on solutions based on post-deployment insights
• Build and maintain robust data pipelines for data processing, transformation, and feeding data into AI frameworks
• Agile Development & Team Enablement
• Lead the execution of agile development sprints and manage SCRUM events to ensure high quality, timely delivery, and alignment with stakeholder expectations
• Mentor and empower developers and data scientists, promoting collaboration and excellence in AI engineering practices
• Assist in backlog prioritization and delivery tracking across diverse teams
• Generative AI & Technical Advisory
• Utilize Generative AI and Large Language Model (LLM) techniques to automate and enhance operational workflows and compliance activities
• Refine prompt engineering and context enrichment methodologies for AI applications
• Analyze and enhance existing AI toolsets and processes to boost scalability and improve delivery effectiveness
• Provide guidance on deployment strategies including security considerations, performance tuning, and data integration practices
• Conduct assessments to determine operational readiness, evaluating the resilience and maintainability of solutions
• Design lightweight model monitoring and retraining frameworks to ensure ongoing relevance and accuracy
• Support adherence to AI governance principles, ensuring solutions comply with organizational standards and risk management practices
• Act as the primary technical lead for clients, ensuring effective communication and success in delivery
• Collaborate with cross-functional teams to accelerate prototyping and iterative development
• Oversee the deployment and management of applications and models in cloud environments, employing infrastructure-as-code and best practices in DevOps
• Model monitoring and retraining systems
• 21 more items(s)
More job highlights
Job description
Job Family: Data Science Consulting

Travel Required: Up to 10%

Clearance Required: None

What You Will Do: We are looking for a passionate Lead AI Development Specialist to spearhead the design, development, and delivery of innovative AI solutions, with a focus on Generative AI, aimed at transforming client operations through intelligent automation. This hands-on role requires a dynamic leader t...o guide agile teams in the creation of AI-driven Minimum Viable Products (MVPs), while providing strategic advice on architecture, deployment, and governance. The ideal candidate will possess a blend of robust technical expertise in cutting-edge AI technologies and consulting acumen to ensure clients derive meaningful value from new technologies.

AI Delivery Leadership

• Drive the comprehensive delivery of AI MVPs, starting from use case identification through to demonstration and refinement, collaborating closely with clients throughout the process.

• Architect solutions and technical roadmaps that effectively integrate AI components within client cloud infrastructures.

• Supervise model development, validation, and integration with user interfaces to produce functional prototypes.

• Facilitate MVP demonstrations to stakeholders, gather feedback, and iterate on solutions based on post-deployment insights.

• Build and maintain robust data pipelines for data processing, transformation, and feeding data into AI frameworks.

Agile Development & Team Enablement

• Lead the execution of agile development sprints and manage SCRUM events to ensure high quality, timely delivery, and alignment with stakeholder expectations.

• Mentor and empower developers and data scientists, promoting collaboration and excellence in AI engineering practices.

• Assist in backlog prioritization and delivery tracking across diverse teams.

Generative AI & Technical Advisory

• Utilize Generative AI and Large Language Model (LLM) techniques to automate and enhance operational workflows and compliance activities.

• Refine prompt engineering and context enrichment methodologies for AI applications.

• Analyze and enhance existing AI toolsets and processes to boost scalability and improve delivery effectiveness.

• Provide guidance on deployment strategies including security considerations, performance tuning, and data integration practices.

• Conduct assessments to determine operational readiness, evaluating the resilience and maintainability of solutions.

• Design lightweight model monitoring and retraining frameworks to ensure ongoing relevance and accuracy.

• Support adherence to AI governance principles, ensuring solutions comply with organizational standards and risk management practices.

• Act as the primary technical lead for clients, ensuring effective communication and success in delivery.

• Collaborate with cross-functional teams to accelerate prototyping and iterative development.

• Oversee the deployment and management of applications and models in cloud environments, employing infrastructure-as-code and best practices in DevOps.

What You Will Need:

• A Bachelor’s degree is required.

• A minimum of seven (7) years of experience in delivering AI, software, or data-centric solutions.

• At least two (2) years in a leadership or client-facing consulting role.

• Proven experience in designing or implementing Generative AI systems within cloud environments such as Azure or AWS.

• Familiarity with key Generative AI patterns, including:

• RAG (Retrieval-Augmented Generation)

• Agent frameworks for orchestrated multi-step reasoning

• Evaluation and observability practices

• Model monitoring and retraining systems

• Proficiency in Python and experience with AI/LLM integration via APIs or SDKs.

• In-depth understanding of AI architecture, data integration, and model lifecycle management.

• Demonstrated ability to lead teams using Agile and DevOps methodologies with experience in sprint management and continuous delivery.

• Strong communication, stakeholder engagement, and problem-solving skills.

What Would Be Nice To Have:

• A Master's degree.

• Experience with Amazon Bedrock, SageMaker, or other AWS AI services.

• Understanding of AI governance and risk management frameworks.

• Experience in regulated or complex environments such as energy, infrastructure, or the public sector.

The annual salary range for this position is $118,000.00-$196,000.00, and compensation decisions are influenced by various factors, including skills, experience, security clearances, certifications, and organizational needs.

What We Offer:

Guidehouse provides a comprehensive total rewards package that includes competitive pay and a flexible benefits selection, reflecting our commitment to a diverse and supportive workplace.

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Potential for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life Insurance

• Health Savings Account and Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement and Learning Opportunities

• Skills Development and Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse: Guidehouse is an Equal Opportunity Employer. We hire individuals based on merit, and we welcome applications from protected veterans and qualified individuals with disabilities.

Guidehouse is committed to compliance with applicable laws regarding employment. For more information on employment opportunities or to apply for a position, please reach out to Guidehouse Recruiting. All candidates requiring accommodations will have their information treated confidentially, ensuring a seamless recruitment experience.

We advise candidates that correspondence regarding recruitment will originate from Guidehouse email domains only. Avoid engaging with entities that claim to represent Guidehouse from non-official domains. Guidehouse will never ask for fees or personal banking information during recruitment.

If you suspect any fraudulent activity related to job opportunities at Guidehouse, please report it to our Ethics Hotline.

Guidehouse does not accept unsolicited resumes through third parties and all unsolicited resumes will remain the property of Guidehouse.
Show full description
Report this listing
Loading...

Job highlights
Identified by Google from the original job post
Qualifications
• This leader will combine deep technical expertise in modern AI systems with strong engineering execution and organizational leadership
• Strong experience building and operating production AI systems, including LLM‑based workflows
• Solid understanding of modern AI practices such as prompt engineering, retrieval‑augmented generation, fine‑tuning, and evaluation
• Proven experience designing and delivering shared platforms or services at scale
• Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services
• Experience designing APIs and operating services in a cloud environment
• Experience working with distributed Cloud environments
• Strong communication skills and the ability to collaborate effectively across teams
• Experience working in Agile development teams
• Nice to Have
• Experience working on developer productivity or platform engineering initiatives
• Prior people‑management experience, including leading small to mid‑sized engineering teams
• Familiarity with enterprise governance, security, and risk considerations for AI systems
• 10 more items(s)
Benefits
• For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 
• Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
• BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
• To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about
• 1 more items(s)
Responsibilities
• Design scalable AI architecture leveraging LLMs, RAG, fine-tuning, and model optimization techniques
• Establish evaluation frameworks to measure model quality, hallucination control, and precision/recall trade-offs
• Lead the design and implementation of scalable AI platform capabilities used across the software development lifecycle
• Partner with product and security teams to ensure AI solutions are safe, compliant, and production‑ready
• Drive delivery through ambiguity by breaking down complex problems into clear plans and milestones
• Lead buy vs. build decisions, evaluating third‑party solutions alongside internal capabilities
• Identify technical risks and dependencies early, with mitigation and escalation where needed
• Coordinate across multiple engineering teams and time zones to deliver shared outcomes
• Translate complex AI capabilities into clear business values and communicate progress, trade‑offs, and risks to senior stakeholders
• Lead and develop a team of engineers and senior ICs, providing coaching and technical mentorship
• Foster a culture of ownership, accountability, and continuous improvement
• Support the growth of emerging leaders by delegating responsibility and increasing scope over time
• This role will also provide valuable exposure to risk management, valuations, and operations
• 10 more items(s)
More job highlights
Job description
About this role

Role Brief:

Are you interested in building AI systems that fundamentally transform how software is engineered in a global financial institution? Do you like working at the speed of a startup while solving highly sophisticated, enterprise-scale problems in a highly complex environment?

At BlackRock, we are seeking a VP of AI Platform Engineering to lead the design and delivery of... enterprise AI capabilities that power technologist enablement, and next-generation platform services. This leader will combine deep technical expertise in modern AI systems with strong engineering execution and organizational leadership. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. With over USD $11 trillion of assets we have an exceptional responsibility, our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. As an AI engineering leader at BlackRock, you will help define how AI is safely, securely, and effectively embedded into our engineering ecosystem at scale.

About the Team:

Our Platform Engineering division builds and operates the foundation system that power Aladdin and BlackRock’s enterprise technology landscape. We are leading BlackRock’s evolution toward an AI-native engineering organization. We are fundamentally reimagining how software is built, reviewed, tested, modernized, and operated through intelligent systems.

The AI Platform Engineering team is not simply integrating AI into existing workflows; we are redesigning those workflows altogether. The team drives step-change improvements in developer enablement, large-scale modernization, and enterprise AI governance. We operate at the intersection of AI innovation and enterprise-grade reliability, shaping the future of engineering across thousands of developers and multiple business domains. The team defines what AI-powered engineering looks at scale inside one of the world’s most sophisticated financial technology environments.

Responsibilities:

• Design scalable AI architecture leveraging LLMs, RAG, fine-tuning, and model optimization techniques

• Establish evaluation frameworks to measure model quality, hallucination control, and precision/recall trade-offs

• Lead the design and implementation of scalable AI platform capabilities used across the software development lifecycle

• Partner with product and security teams to ensure AI solutions are safe, compliant, and production‑ready

• Drive delivery through ambiguity by breaking down complex problems into clear plans and milestones

• Lead buy vs. build decisions, evaluating third‑party solutions alongside internal capabilities

• Identify technical risks and dependencies early, with mitigation and escalation where needed

• Coordinate across multiple engineering teams and time zones to deliver shared outcomes

• Translate complex AI capabilities into clear business values and communicate progress, trade‑offs, and risks to senior stakeholders

• Lead and develop a team of engineers and senior ICs, providing coaching and technical mentorship

• Foster a culture of ownership, accountability, and continuous improvement

• Support the growth of emerging leaders by delegating responsibility and increasing scope over time

Requirements:

• Strong experience building and operating production AI systems, including LLM‑based workflows

• Solid understanding of modern AI practices such as prompt engineering, retrieval‑augmented generation, fine‑tuning, and evaluation

• Proven experience designing and delivering shared platforms or services at scale

• Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services

• Experience designing APIs and operating services in a cloud environment

• Experience working with distributed Cloud environments

• Strong communication skills and the ability to collaborate effectively across teams

• Experience working in Agile development teams.

Nice to Have

• Experience working on developer productivity or platform engineering initiatives

• Prior people‑management experience, including leading small to mid‑sized engineering teams

• Familiarity with enterprise governance, security, and risk considerations for AI systems

Joining BlackRock means becoming a member of a highly esteemed organization that oversees and safeguards more than $10 trillion (USD) in assets. You will have the chance to work with advanced technologies and collaborate with outstanding engineers to influence the future of the financial

industry. This role will also provide valuable exposure to risk management, valuations, and operations.

BlackRock is an equal opportunity employer committed to diversity and inclusion. We embrace and value the unique skills, curiosity, and passion of individuals from all backgrounds. We strive to provide reasonable accommodations and adjustments for all qualified individuals with disabilities. If you require assistance or an accommodation during the application process, please let us know.

Join us at BlackRock and be part of a team that is revolutionizing the financial industry through innovation and technology.

For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Show full description
Report this listing
Loading...

Job description
Mission of the Role

As a AI Engineer, you will contribute to cutting-edge AI initiatives that drive business impact across Asia Pacific. You will work on data analytics, machine learning, and knowledge management projects, helping prototype solutions that scale across domains and business units.

Key Responsibilities

• Data Analytics & Machine Learning

• Develop predictive models for time series f...orecasting (ARIMA, LSTM, Prophet)

• Implement classification and clustering algorithms (Logistic Regression, Random Forest, K-means).

• Perform feature engineering and manage MLOps pipelines (A/B testing, drift detection).

• Apply models to use cases such as sales forecasting, churn analysis, and predictive maintenance.

• Knowledge Management

• Design and optimize vector database architectures for efficient retrieval.

• Implement graph databases for semantic search and knowledge graph construction.

• Build hybrid search systems combining vector, keyword, and graph-based approaches.

• Collaborate with cross-functional teams to prototype AI solutions aligned with business needs.

• Document research findings and contribute to scalable AI frameworks.

Required Skills & Qualifications

• Education: Degree in Computer Science, Data Science, Engineering, or related field.

• 2+ years of experience in these technical skillsets:

• Proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch)

• Experience with data visualization tools (Power BI) and cloud platforms (AWS preferred).

• Knowledge of database systems, vector search, and graph technologies.

• Strong understanding of machine learning algorithms, data preprocessing, and model deployment.

• Ability to work in a collaborative, research-driven environment.

Preferred Qualifications

• Familiarity with agentic workflows, AI agents, and chatbot development.

• Exposure to knowledge management systems and semantic search.

• Prior experience in predictive analytics or enterprise AI projects.
Show full description
Report this listing
Loading...

Job description
A technology company in Saudi Arabia is seeking specialists for project-based AI opportunities focused on testing and improving AI systems. The role involves creating challenging coding tests, reviewing tasks, writing functional tests, and analyzing AI performance. Ideal candidates have a degree in Computer Science, 5+ years of Python experience, full-stack development skills, and strong English p...roficiency. Rates can go up to $40/hour, providing flexible working hours.

#J-18808-Ljbffr
Show full description
Report this listing
Loading...

Job description
Job Title - S&C Global Network - AI - CMT - Consultant Data Science

Management Level: 9-Team Lead/Consultant

Location: Hyderabad, HDC2A

Must-have skills: CMT Analytics

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and ...leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

Responsibilities/Authorities

A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:

• Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.

• Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.

• Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.

• Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state

• Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem.

• Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.

• Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.

• Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.

• Partner with clients to understand end clients’ business goals, marketing objectives, and competitive constraints.

• Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders.

• Should be able to travel or relocate to Japan as per business requirement.

Professional & Technical Skills:

- Relevant experience in the required domain.

- Strong analytical, problem-solving, and communication skills.

- Ability to work in a fast-paced, dynamic environment.

• Demonstrated experience in solving real-world data problems through Data & AI

• Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.

• Proficiency with data mining, mathematics, and statistical analysis

• Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.

• Execution level understanding of econometric/statistical modeling packages –

• Traditional techniques like – Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.

• Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.

• Knowledge of Deep learning modeling techniques – like RNN, CNN etc.

• Experience using digital & statistical modeling software (one or more) – Python, R, PySpark, SQL, BigQuery, Vertex AI

• Proficient in Excel, MS word, Power point, and corporate soft skills

• Knowledge of Dashboard creation platforms – Excel, tableau, Power BI etc.

• Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.

• Strong analytical, problem-solving skills and good communication skills

• Self-Starter with ability to work independently across multiple projects and set priorities

• Strong team player – Proactive and solution oriented, able to guide junior team members.

• Execution knowledge of optimization techniques is a good-to-have –

• Exact optimization – Linear, Non-linear optimization techniques

• Evolutionary optimization – Both population and search-based algorithms

• Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information:

- Opportunity to work on innovative projects.

- Career growth and leadership exposure.

About Our Company | Accenture
Show full description
Report this listing
Loading...

Job highlights
Identified by Google from the original job post
Qualifications
• Proficiency or strong interest in AI tools and technologies and Microsoft Office
• Excellent communication skills, both written and verbal
• Willingness to work 6 days a week, extremely high levels of agency
• Ability to learn very quickly and iterate
• Preference: technical skills (able to use AI tools like Claude Code)
• Preference: ability to start as soon as possible in-person in SF
• 3 more items(s)
Benefits
• Develop unparalleled AI fluency and AI hard skills
• Direct mentorship from founding team
• Replacement for entry-level IB and consulting roles
Responsibilities
• Work closely with the world’s leading AI labs to build next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company
• Manage teams of experts across a wide variety of professional domains, like finance, software engineering, and law
• Create and execute on sales memos and the development of data samples
• Support the team across various operational initiatives
• 1 more items(s)
More job highlights
Job description
_ This role has the potential to convert to a full-time position as an Strategic Projects Associate. _

AfterQuery is seeking exceptional candidates for our Strategic Projects Intern position. This is not a typical job – you'll work directly with our founding team on high-priority projects spanning product development, research, and operations.

Company Overview

AfterQuery is a research lab inves...tigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs.

We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI.

Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL).

Key Responsibilities

• Work closely with the world’s leading AI labs to build next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company

• Manage teams of experts across a wide variety of professional domains, like finance, software engineering, and law

• Create and execute on sales memos and the development of data samples

• Support the team across various operational initiatives

What We Are Looking For

• Proficiency or strong interest in AI tools and technologies and Microsoft Office

• Excellent communication skills, both written and verbal

• Willingness to work 6 days a week, extremely high levels of agency

• Ability to learn very quickly and iterate

• Preference: technical skills (able to use AI tools like Claude Code)

• Preference: ability to start as soon as possible in-person in SF

Your Growth

• Develop unparalleled AI fluency and AI hard skills

• Gain a network of frontier AI researchers, builders, and investors

• Learn how to build a company from 0 to 1

• Direct mentorship from founding team

• Replacement for entry-level IB and consulting roles
Show full description
Report this listing
Loading...

Job highlights
Identified by Google from the original job post
Qualifications
• 10+ years of experience in technical consulting, client problem solving, architecting and designing security solutions with a strong focus on Microsoft AZURE AND AI Security solutions such as Entra ID, Active Directory, Defender for Office (Email Security), Defender for Cloud -CWPP/CNAPP, Defender for Cloud Apps (CASB), Defender for Endpoint & Servers, Purview MPIP/DLP/IRM, Sentinel, Defender XD
• R & Security Copilot
• 10+ years of senior technical /leadership experience in enterprise security operations, enterprise security architecture or infrastructure operations plus 3+ years in consulting leadership roles with a very strong focus and experience with Microsoft security technologies
• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
• BA/BS Degree in Computer Science, Cyber Security, Information Security, Engineering, Information Technology
• Limited visa sponsorship may be available
• Experience with engaging C-Level executives and developing cyber risk strategies to address broad security issues
• Experience with leading multiple distributed teams across different geographies
• Ability to develop compelling proposals for client to clearly articulate the need for information security
• Excellent writing and verbal communication skills
• Strong project management and organizational skills
• The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs
• 9 more items(s)
Benefits
• A reasonable estimate of the current range is $175,300 - $322,900
• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance
Responsibilities
• As a Senior Manager for Microsoft Azure and AI Security, you will be at the front lines with our clients supporting them with their security needs specifically helping them address Microsoft Azure and AI adoption and broader Microsoft security technology platforms such as Microsoft Defender for Office and some third part solutions such as Wiz
• Lead Microsoft security teams at industry leading clients for deploying and advising on Microsoft Azure and AI security services
• Lead business development activities such as defining scope of services, building resource estimates and related pricing, packaging proposals and supporting the delivery of the proposal to the client for Microsoft Security services
• Lead the overall delivery of multiple Microsoft Azure and AI security projects in a project leader and program manager role, overseeing the activities of onsite and offshore engineers and architects
• Lead design and implementation of projects for security considerations for adoption of Azure AI Services such as OpenAI Service, Machine Learning, Cognitive Services, AI Studio, ensuring protection from development to deployment
• Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio), ensuring protection from development to deployment
• Design and implement security playbooks for AI models, addressing encryption, access control, data integrity, model scanning, and AI model governance
• Develop and enforce security controls for Microsoft Copilot and GitHub Copilot, including data governance, access management, code scanning, and vulnerability detection
• Build secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models, embedding security throughout the MLOps lifecycle
• Manage data security through encryption, tokenization, anonymization, and access control for Azure data stores (e.g., Azure Storage, SQL Database, Cosmos DB, Data Lake)
• Automate security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules to ensure consistent security across Azure AI services
• Ability to mentor and guide team members in AI security best practices
• Assist clients with Azure and AI security analysis, roadmap, design and adoption
• Build, develop and maintain client relationships by developing a reputation as a senior professional who delivers exceptional results
• Serve as a subject matter expert (SME) on Microsoft Security solutions for senior business and technology stakeholders
• Maintain strong domain knowledge of Microsoft Azure and AI Security solutions
• Performing technical health checks for the Microsoft Azure and AI Security platforms/environments prior to broader deployments with a project team
• Supporting proof of concept and production deployments of Microsoft Azure and AI Security with a project team
• Assisting clients with operational transitions to the Microsoft Azure and AI security solutions
• Providing technical support for Azure and AI Security solutions and resolve service-related issues through research and troubleshooting and working with Microsoft
• Implementation of industry leading practices around Azure AND AI Security solutions
• Support Deloitte Azure and AI Security Operate teams on client calls as necessary
• Acting as a subject matter expert for Microsoft Azure AND AI Security solutions
• Lead eminence activities, such as whitepapers and POV's pertaining to Microsoft Azure AI Security technologies
• Lead talent processes in the senior manager role such as for recruiting and coaching of employees in the Microsoft Azure and AI Security space
• This should be in leadership roles responsible for project scope, pricing and delivery leading multiple proposals and projects at the same time
• 23 more items(s)
More job highlights
Job description
Senior Manager - Microsoft Azure and AI Security

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cybe...r Microsoft Security team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 05/29/2026.

Work you'll do

As a Senior Manager for Microsoft Azure and AI Security, you will be at the front lines with our clients supporting them with their security needs specifically helping them address Microsoft Azure and AI adoption and broader Microsoft security technology platforms such as Microsoft Defender for Office and some third part solutions such as Wiz. Microsoft AI solutions include: OpenAI Service, Machine Learning, Cognitive Services, AI Studio, and M365 Copilot. Responsibilities as a Senior Manager will include:

• Lead Microsoft security teams at industry leading clients for deploying and advising on Microsoft Azure and AI security services.

• Lead business development activities such as defining scope of services, building resource estimates and related pricing, packaging proposals and supporting the delivery of the proposal to the client for Microsoft Security services

• Lead the overall delivery of multiple Microsoft Azure and AI security projects in a project leader and program manager role, overseeing the activities of onsite and offshore engineers and architects

• Lead design and implementation of projects for security considerations for adoption of Azure AI Services such as OpenAI Service, Machine Learning, Cognitive Services, AI Studio, ensuring protection from development to deployment.

• Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio), ensuring protection from development to deployment.

• Design and implement security playbooks for AI models, addressing encryption, access control, data integrity, model scanning, and AI model governance.

• Develop and enforce security controls for Microsoft Copilot and GitHub Copilot, including data governance, access management, code scanning, and vulnerability detection.

• Build secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models, embedding security throughout the MLOps lifecycle.

• Manage data security through encryption, tokenization, anonymization, and access control for Azure data stores (e.g., Azure Storage, SQL Database, Cosmos DB, Data Lake).

• Automate security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules to ensure consistent security across Azure AI services.

• Ability to mentor and guide team members in AI security best practices.

• Assist clients with Azure and AI security analysis, roadmap, design and adoption.

• Build, develop and maintain client relationships by developing a reputation as a senior professional who delivers exceptional results.

• Serve as a subject matter expert (SME) on Microsoft Security solutions for senior business and technology stakeholders.

• Maintain strong domain knowledge of Microsoft Azure and AI Security solutions

• Performing technical health checks for the Microsoft Azure and AI Security platforms/environments prior to broader deployments with a project team.

• Supporting proof of concept and production deployments of Microsoft Azure and AI Security with a project team.

• Assisting clients with operational transitions to the Microsoft Azure and AI security solutions

• Providing technical support for Azure and AI Security solutions and resolve service-related issues through research and troubleshooting and working with Microsoft

• Implementation of industry leading practices around Azure AND AI Security solutions

• Support Deloitte Azure and AI Security Operate teams on client calls as necessary.

• Acting as a subject matter expert for Microsoft Azure AND AI Security solutions

• Lead eminence activities, such as whitepapers and POV's pertaining to Microsoft Azure AI Security technologies

• Lead talent processes in the senior manager role such as for recruiting and coaching of employees in the Microsoft Azure and AI Security space

The team

Deloitte Cyber team helps complex organizations more confidently pursue their growth, innovation and performance agendas through proactive management of the associated cyber risks. Our professionals provide advisory and implementation services that integrate risk, regulatory, and technology skills to help clients transform their legacy programs into proactive cyber risk programs. Join the team developing the future state of cyber risk solutions. Learn more about Deloitte Advisory's Cyber Risk Services practice.

Required:

• 10+ years of experience in technical consulting, client problem solving, architecting and designing security solutions with a strong focus on Microsoft AZURE AND AI Security solutions such as Entra ID, Active Directory, Defender for Office (Email Security), Defender for Cloud -CWPP/CNAPP, Defender for Cloud Apps (CASB), Defender for Endpoint & Servers, Purview MPIP/DLP/IRM, Sentinel, Defender XDR & Security Copilot. This should be in leadership roles responsible for project scope, pricing and delivery leading multiple proposals and projects at the same time

OR

• 10+ years of senior technical /leadership experience in enterprise security operations, enterprise security architecture or infrastructure operations plus 3+ years in consulting leadership roles with a very strong focus and experience with Microsoft security technologies

Additional Requirements:

• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve

• BA/BS Degree in Computer Science, Cyber Security, Information Security, Engineering, Information Technology.

• Limited visa sponsorship may be available

Preferred:

• Previous Consulting experience preferred.

• Certifications such as: Microsoft new roles-based certifications (eg. SC 200), CCSP, CCSK, CISSP, CCNP, CCNA, MCSE, MCSA certification a plus.

• Knowledge of security and privacy-related industry standards and frameworks (e.g., ISO 27001/2, NIST 800-53, NIST CSF, CSA CCM) is a plus.

• Experience with engaging C-Level executives and developing cyber risk strategies to address broad security issues.

• Experience with leading multiple distributed teams across different geographies.

• Ability to develop compelling proposals for client to clearly articulate the need for information security.

• Excellent writing and verbal communication skills.

• Strong project management and organizational skills

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $175,300 - $322,900

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Show full description
Report this listing
Loading...

Job description
Senior Technical Project Manager (AI)

As a Senior Technical Project Manager specializing in AI, you will play a pivotal role in driving the successful delivery of cutting-edge artificial intelligence and data-driven initiatives that transform business operations and unlock new value. This position demands a seasoned leader who can seamlessly bridge complex technical domains and strategic business... goals, ensuring AI solutions are delivered on time, within scope, and at the highest quality standards. Your expertise will directly impact the company’s innovation trajectory and operational excellence.

In this role, you will lead the end-to-end lifecycle of multiple concurrent AI projects, from initial planning and development through testing, deployment, and ongoing support. You will coordinate cross-functional teams comprising AI/ML engineers, data engineers, backend and React frontend developers, QA specialists, cybersecurity experts, and UI/UX designers. Translating business requirements into detailed technical specifications and actionable project plans will be a core responsibility, alongside rigorous risk management, progress monitoring, and governance reporting. You will collaborate closely with stakeholders to ensure AI initiatives align with broader business objectives and operational priorities, while championing best practices in software development, security compliance, and quality assurance.

Your day-to-day activities will involve orchestrating agile workflows, facilitating sprint planning and retrospectives, resolving technical and resource challenges, and maintaining clear communication across distributed teams. You will foster a collaborative environment that encourages innovation and continuous improvement, while ensuring timely delivery of scalable, secure, and user-centric AI solutions. This role offers significant growth opportunities to influence enterprise-wide AI strategy and expand your leadership impact within a dynamic, forward-thinking technology organization.

You will join a highly skilled, multidisciplinary team operating in a fast-paced, cloud-enabled environment leveraging platforms such as Azure, AWS, or GCP. Reporting to senior leadership, you will be a key driver of transformative AI projects that shape the future of the company’s technology landscape. If you are passionate about harnessing AI to solve complex challenges and thrive in a collaborative, innovation-driven culture, this is the opportunity to elevate your career to the next level.

Key Responsibilities:

• Lead end-to-end delivery of AI and data-driven projects, overseeing planning, development, testing, deployment, and post-release support.

• Manage multiple concurrent AI initiatives, ensuring adherence to timelines, scope, budget, and quality standards.

• Coordinate and align cross-functional teams including AI/ML engineers, data engineers, backend and React frontend developers, QA, cybersecurity, and UI/UX designers.

• Translate complex business requirements into clear technical specifications, project plans, and development roadmaps.

• Monitor project progress, proactively manage risks, and enforce robust project governance and reporting mechanisms.

• Collaborate closely with stakeholders to align AI solutions with strategic business objectives and operational needs.

• Ensure adherence to best practices in software development lifecycle, security compliance, quality assurance, and agile methodologies.

• Drive continuous improvement in project delivery processes and team collaboration.

Required Skills & Experience:

• 8–12 years of experience in software development or technical project management, with a proven track record managing AI/ML or data-driven projects.

• Deep understanding of Generative AI (LLMs), machine learning frameworks, and AI solution architectures.

• Knowledge of data engineering pipelines, modern data platforms, and cloud environments (Azure, AWS, GCP preferred).

• Familiarity with React-based frontend architecture, APIs, UI/UX design principles, QA/testing frameworks, and cybersecurity practices.

• Expertise in Agile/Scrum methodologies and experience managing distributed, cross-functional teams.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

• PMP, Agile, or Scrum certifications are a strong advantage.
Show full description
Report this listing
Loading...

Job highlights
Identified by Google from the original job post
Qualifications
• Advanced degree or equivalent practical experience in AI, machine learning, or related fields
• Strong Python skills and experience conducting ML experimentation
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with experiment tracking, reproducibility, and scientific research workflows
• 1 more items(s)
Responsibilities
• The position sits at the intersection of research and applied engineering, driving innovation through rigorous experimentation and continuous exploration of emerging AI techniques
• Research and prototype machine learning, generative AI, and agentic AI techniques
• Build reproducible Python-based experimentation pipelines
• Design and execute evaluation frameworks for models and experimental approaches
• Analyze research results and translate findings into actionable production recommendations
• Collaborate with platform and engineering teams to operationalize successful prototypes
• Stay current with academic advancements and industry trends to guide research direction
• 4 more items(s)
More job highlights
Job description
Job Summary

The AI Researcher - Support & Innovation is responsible for hands-on experimentation and applied research aimed at advancing AI capabilities within the organization.

This role focuses on prototyping, evaluation, and collaboration with engineering teams to translate research insights into production-ready recommendations.

The position sits at the intersection of research and applied ...engineering, driving innovation through rigorous experimentation and continuous exploration of emerging AI techniques.

Key Responsibilities

• Research and prototype machine learning, generative AI, and agentic AI techniques.

• Build reproducible Python-based experimentation pipelines.

• Design and execute evaluation frameworks for models and experimental approaches.

• Analyze research results and translate findings into actionable production recommendations.

• Collaborate with platform and engineering teams to operationalize successful prototypes.

• Stay current with academic advancements and industry trends to guide research direction.

Required Qualifications

• Advanced degree or equivalent practical experience in AI, machine learning, or related fields.

• Strong Python skills and experience conducting ML experimentation.

• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.

• Experience with experiment tracking, reproducibility, and scientific research workflows.

Preferred Qualifications

• Applied research experience in financial services or other regulated industries.

• Publications, research contributions, or demonstrated innovation in applied AI.
Show full description
Report this listing
Loading...

FinTech Product Analyst - AI Model Trainer ($50-$60/hour)

Qualifications

Benefits

Responsibilities

Full Description

Zero to AI Engineer