Job description
A leading technology company is seeking a Director of Executive Talent Management to shape its future leadership bench. This role includes developing and implementing AI-driven talent strategies, succession planning, and leader pipeline development. The ideal candidate will have over 10 years of experience in leadership roles and a proven track record in talent management. Located in Seattle, this... position offers a competitive salary ranging from $164,000 to $261,500 annually, along with comprehensive benefits.
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Ephicacy
Head of artificial intelligence
Ephicacy · Kota, Andhra Pradesh, India · via Recruit.net
21 hours ago
Full-time
Apply on Recruit.net
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Job description
Head of AI / AI Practice Lead (Ephicacy) Hybrid/Remote (with periodic travel to Ephicacy locations and client sites)

Reports to CEO . Partners closely with Clinical Operations, Biostatistics/Statistical Programming, Data Management, Quality & Compliance, IT/Security, and Commercial.

Experience 18+ years of experience in a CRO, life sciences, or clinical research operations.

Position Summary The He...ad of AI will set up and lead Ephicacy’s AI Practice. The role will identify where AI can improve delivery, quality, and efficiency; build a small team and ways of working to test ideas quickly; and scale the best solutions into day-to-day operations and client offerings.

Key Responsibilities Set AI direction and priorities Define Ephicacy’s AI plan and a clear 12–24 month roadmap.

Create a practical process to collect ideas, choose priorities, and track benefits

Communicate progress and decisions to leaders and delivery teams.

Build and run the AI Innovation Lab Establish a repeatable approach to testing ideas: define the problem, build a quick prototype, evaluate results, and decide whether to scale.

Work closely with business leaders to ensure AI efforts address real workflow pain points and measurable outcomes.

Deliver solutions that can be used on a scale Lead delivery of AI-enabled tools and automation into real workflows

Coordinate with IT teams to deploy solutions reliably, support users, and maintain performance over time.

Manage cost and vendor relationships for AI tools and platforms.

Ensure responsible and controlled use of AI Put in place clear rules and checks before AI is used in delivery work

Align Ephicacy’s approach to recognized AI risk and management practices

Partner with Quality, Legal, and Compliance to ensure solutions are appropriate for regulated clinical research activities.

Build capability across Ephicacy Hire and lead a small, high-impact team

Create internal training and practical guidance so teams know when and how to use AI, and when not to.

Required Qualifications

Significant experience leading AI or advanced analytics work, with a track record of delivering solutions that are used in production.

Experience setting strategy, prioritizing a portfolio, and leading cross-functional delivery with IT and business teams.

Strong stakeholder management and clear communication with executives and non-technical teams.

Experience working in environments where quality, confidentiality, and risk controls matter (regulated industries preferred). Preferred Qualifications

Experience in a CRO, life sciences, or clinical research operations.

Experience establishing AI governance policies and oversight processes across an organization.
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Job description
About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, o...r quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

About the Role:

As a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will be responsible for leading complex programs that provide the "fuel" for AI models: high-quality, high-volume data and bespoke engineering deliverables. You aren't just managing timelines; you are architecting the workflows that ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex sourced data available.

• Frontier Lab Program Management: Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.

• High-Volume Data Operations: Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.

• End-to-End Quality Control: Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.

• Bespoke FDE Deliverables: Lead technical workstreams to deliver custom research and engineering improvements via the forward-deployed engineers, such as RAG (Retrieval-Augmented Generation) workflow optimizations, model evaluations, and synthetic data generation.

• RL & Environment Management: Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human-feedback loops are optimized for model alignment and performance.

• Technical Consultation: Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.

• Cross-Functional Leadership: Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.

Qualifications

• Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.

• Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).

• Technical Depth: Hands-on experience with RAG architectures, vector databases, and agentic workflows.Familiarity with Reinforcement Learning (RLHF/RLAIF) environments and preference signaling.

• Scale & Quality: Demonstrated ability to manage "high-throughput" programs where quality control is mission-critical. You should have experience with automated validation at scale.

• Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.

• Operational Excellence: Expert-level understanding of software integration (RESTful APIs, cloud infrastructure) and the ability to troubleshoot complex technical bottlenecks in real-time.

• Adaptability: Ability to thrive in a "frontier" environment where requirements can shift based on the latest research breakthroughs.

Preferred Skills

• Fluency in multiple languages.

• Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work with cutting-edge AI technology in a rapidly growing industry.

• A dynamic and collaborative work environment.

• Significant opportunities for professional growth and development.

• The chance to make a real impact on global communication and business.

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech

What sets our platform apart:

• Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent

• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

• 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

• Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

LILT in the News

• Featured in The Software Report’s Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
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Job description
Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move f...orward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.

About the Role:

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business.

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success.

What You’ll Do:

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts.

• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.

• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.

• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.

• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach.

What You’ll Bring:

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.

• Extensive experience managing multithreaded sales cycles involving multiple stakeholders.

• Strong existing relationships with C-suite executives and channel partners in large enterprises.

• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity.

• Reputation for integrity, honesty, and building long-term customer relationships.

#LI-DF1 #LI-REMOTE

What you'll get

• Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares

• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents

• Medical, dental, and vision coverage starting on your first day

• Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program

• 401(k) retirement plan with company matching contributions

• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time

• AirVet: 24/7 virtual veterinary care at no cost

• Legal services, identity protection, and supplemental health insurance options

• Tax-advantaged spending accounts for healthcare, dependent care, and commuting

• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

U.S. Geographic Zones & Compensation Ranges (TTC / OTE)

Zone 1: San Francisco Bay Area, New York City Boroughs

$277,700—$515,800 USD

Zone 2: Washington, California (excluding San Francisco Bay Area)

$254,600—$472,900 USD

Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona

$231,500—$429,800 USD

Zone 4: All other US locations

$201,400—$373,900 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with a...ll Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.

Description

This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.

Minimum Qualifications

• Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).

• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.

• Experience with rapid prototyping, reproduction, and validation of research ideas.

• Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.

Preferred Qualifications

• PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.

• Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.

• Experience with foundation models (language or multimodal).

• Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.

• Experience fine-tuning or optimizing large models for production deployment.

• Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.

• Familiarity with privacy-preserving or on-device machine learning.

• Ability to work effectively in a multi-functional, collaborative environment.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.
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Boston Consulting Group
Lead AI Engineer, India - BCG X
Boston Consulting Group · Maharashtra, India · via Indeed
13 hours ago
Full-time
Apply on Indeed
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Job description
Locations: Mumbai | Gurgaon

Who We Are

We are BCG X. Our global team of 3,000 tech experts are united by a drive to make a difference. Working across industries and disciplines, we go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. BCG X provides a unique ecosystem for talent to build game-changing businesses, products, and servi...ces from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

BCG X designs & builds custom scalable tech solutions & software, not cookie cutter solutions as exist in the market, in deep collaboration with companies' teams. These tech solutions & software are focused on the top value creation programs of a company, CEO agenda level, amplifying their impact & their odds of success

BCG X works hand-in-hand with BCG’s deep sector and functional experts, maximizing the full transformative potential of these programs & deployments

BCG X taps into end-to-end tech design & build capabilities, with nearly 3000 experts, delivering solutions that are industrial-grade to sustain deep change across global companies, and partners actively with the digital ecosystem. BCG X solutions & software are tech agnostic

BCG X is a force multiplier for BCG functional/sector expertise to build and scale disruptive high-impact software-enabled business solutions and unites tech builders, designers, and entrepreneurs with the world’s leading talent in AI, deep tech, digital growth, sustainability, and more.

BCG X is a specialty business part of BCG. We support companies in creating custom AI solutions that bring about end-to-end business transformation, design and develop digital products and services, and build digital businesses from the ground up. AT BCG X we,

We steer to transform, working with senior leaders to foster bold ambition and resources trade-offs

We strive for value/impact, delivering massive, short-term impact fast and building disruptive winning solutions for long-term

We believe in tailoring software solutions deployed at scale over the latest market platforms to maximize the impact

We are not tech-first. We are not business-first. We build tech and business together.

BCG and BCG X bring together the best of consulting and the best of tech to accelerate the digital journeys of large organizations. BCG X is a force multiplier for BCG functional/sector expertise to build and scale disruptive high-impact software- enabled business solutions

To know more about the group, kindly visit the following links: BCG X: Overview | LinkedIn

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full AI value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

As a Lead/Principal AI Software Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like AI led business transformation, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.

We are looking for talented individuals with a passion for software development, large-scale Gen AI/ Agentic AI programs and transforming organizations into AI led innovative companies. Successful candidates possess the following:

Apply Gen AI/ Agentic AI capabilities to transform businesses/ SDLC

Experienced in developing solutions related to Conversational AI or Agentic process automation or Agentic software development lifecycle

Actively involved in every part of the life cycle including product design, scoping, solution design, development, deployment and adoption

Experienced at guiding non-technical teams and consultants in and best practices for robust Agentic AI platforms development

Optimize for accuracy, latency and costs of deploying Agentic AI solutions

Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases

Enjoy collaborating in teams to share AI platforms design and solution ideas

A natural problem-solver and intellectually curious across a breadth of industries and topics

What You'll Bring

Deep Experience in software development and working with global and remote agile squads

Proficient in implementing AI platforms like LangGraph, AWS Bedrock, GCP Geminin Enterprise, Azure AI Foundry, Crew AI etc.

Optimize and enhance computational efficiency of algorithms/ LLMs and AI platforms

Familiarity with the storage, manipulation, and management of relational, non-relational and streaming data structures

Understanding of parallel computing

Experience working on Large Language Models (LLMs), AWS, Azure, or Google cloud infrastructure

Apply software development practices and standards to develop robust and maintainable software

Comfortable in a client-facing role, manage engagements, client relationships, provide “thought leadership” to teams

Experienced at guiding non-technical teams and consultants in and best practices for robust software development

Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases

A natural problem-solver and intellectually curious across a breadth of industries and topics

Have strong project management skills and can act as interface between business & tech for our clients

Additional info

Nice To Have

Build generative AI tool

Full stack development: GraphQL, React, JavaScript, TypeScript

DevOps: Docker, Kubernetes, CI/CD, Terraform

Data: SQL, Spark, Hadoop

Data Science and machine learning (Pandas, Scikit learn)

Ability to travel based on client and business needs.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.
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General Motors
Data Science & AI Intern - CX
General Motors · Dubai - United Arab Emirates · via General Motors Careers
13 hours ago
Full-time
Apply on General Motors Careers
Apply on Glassdoor
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Job description
Work Arrangement

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.

The Role

As a Data Science & AI Intern – Customer Experience Insights, you will support a strategic initiative to transform how Customer Experience (CX) data is consolidated, analyzed and used acros...s the GM Middle East network. You will work on integrating multiple siloed CX data sources and applying data science and AI techniques to generate insights, recommended actions and improved visibility for field teams and dealers. This internship offers the opportunity to work on an end-to-end analytics project, from understanding complex data landscapes to building AI‑enabled insight capabilities. You will collaborate with CX, Digital and cross-functional partners, contributing to a future-state analytics framework with real business impact.

What You’ll Do

• Map and document existing CX data sources, including formats, frequency, quality and ownership

• Acquire, clean and standardize data from multiple systems to build consolidated datasets or structured data models

• Develop repeatable workflows for data refresh, maintenance and governance compliance

• Analyze merged datasets to uncover trends, correlations and key CX drivers, and identify actionable insights for sales and service performance

• Build dashboards, visualizations and insight summaries for internal stakeholders, field teams and dealer leadership

• Apply AI and advanced analytics techniques (e.g., clustering, predictive modeling, anomaly detection) to interrogate CX data

• Support development of natural‑language or AI‑assisted “ask the data” capabilities and document methodologies, assumptions and model outputs

• Prepare project updates, present key findings and contribute to a scalable future-state CX analytics framework

Your Skills & Abilities

• Currently pursuing a degree in Data Science, Computer Science, Analytics, Engineering, Statistics or a related field

• Strong foundational knowledge of data manipulation and working with structured datasets

• Experience with machine learning concepts or AI tools (such as LLMs, NLP, clustering or predictive models)

• Proficiency with data visualization tools (e.g., Power BI, Tableau or similar)

• Ability to interpret data and translate findings into clear insights and recommended actions

• Strong communication, problem‑solving and documentation skills

• Curiosity and a willingness to explore and simplify complex information

What Will Give You A Competitive Edge

• Exposure to LLM‑based analysis or prompt engineering

• Understanding of data governance and privacy considerations

• Ability to work independently and manage structured workstreams or mini‑projects

• Prior experience applying data science or AI to real business or CX-related problems
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Realign LLC
AI/ML/GenAI Developer-1
Realign LLC · Toronto, ON · via Workopolis
15 hours ago
Full-time
Apply on Workopolis
Apply on BeBee CA
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Job description
Toronto, Ontario M5V 3L9 Posted February 25th, 2026

Looking for more job opportunities? Click here!

Job Type: Full Time

Job Category: IT

Job Description

AI/ML/GenAI Developer

Toronto, ON - Onsite

"Skill Required:

Azure Databricks Provision, configure, and optimize Azure Databricks workspaces and clusters. Manage workspace access, cluster policies, and resource utilization.

Cloud Infrastru...cture Engineering Design and maintain Azure networking (VNet, VNet peering, NSG rules).

Implement and manage Azure services integration (ADLS, Key Vault, Synapse, etc.).

Configure and troubleshoot Service Principal Names (SPN) for secure resource access. Apply RBAC (Role-Based Access Control) for granular security and compliance.

Required Skills

CLOUD DEVELOPER

SQL APPLICATION DEVELOPER
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Job description
Benefits:

Company parties

Competitive salary

Flexible schedule

Exp: Overall 10+ and on AI/ML -5-7+ - STRICTLY LOCAL TO DALLAS AND BE AVAILABLE FOR ONSITE INTERVIEW WITHIN SHORT NOTICE

Description: We are seeking a highly motivated and deeply technical AI Engineer. This role is ideal for someone passionate about emerging AI technologies, rapid prototyping, and transforming cutting-edge ideas i...nto real solutions that accelerate AI adoption across our client’s operations. Reporting to the Manager, AI Product Research, this individual will explore new advancements in Generative AI, build hands-on proofs of concept, and collaborate closely with engineering teams to transition prototypes into scalable production systems.

What You’ll Be Doing: AI Research & Emerging-Tech Exploration: · Continuously research advancements in AI/ML, with a strong focus on Generative AI, LLM architectures, agent frameworks, and multimodal models. · Evaluate emerging tools, frameworks, and APIs such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks, orchestration tools, and model hosting platforms. · Identify opportunities where new AI capabilities can solve business problems or streamline client’s operations. Rapid Prototyping & Hands-On Development: · Build rapid, functional prototypes with a strong hands-on coding approach using Python, modern AI SDKs, and model APIs. · Develop experimental features and concepts that validate feasibility before engineering teams take them to production. · Design, test, and iterate on AI workflows, pipelines, agentic systems, and retrieval-augmented applications. Technical Experimentation & Evaluation: · Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. · Compare models, frameworks, and architectures to recommend best-fit technologies for production teams. · Document findings with clarity, experiment logs, model performance summaries, reproducible code samples, and technical write-ups. Collaboration With Engineering & Stakeholders: · Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems. · Translate experimental results into actionable recommendations for architecture, infrastructure, and model deployment. · Engage with product managers, business partners, and data scientists to align prototypes with real-world needs. Thought Leadership & Knowledge Sharing: · Track market activity, academic research, open-source contributions, and competitor innovation trends. · Present insights, demos, and proposals to technical leadership and stakeholders. · Foster a culture of AI innovation through workshops, documentation, and internal knowledge sharing. Requirements: Technical & Research Expertise · Bachelor’s degree (or equivalent experience) in Computer Science, AI, Data Science, or a related technical field. · 7+ years of hands-on experience in AI engineering, research engineering, ML prototyping, or similar roles. · Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow, PyTorch). · Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. · Experience building rapid prototypes, POCs, and experimental AI applications. Applied AI & Tooling Knowledge: · Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, etc. · Familiarity with developer tools like GitHub Copilot, GPT-based coding assistants, and modern MLOps workflows. · Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks. Soft Skills & Collaboration: · Strong ability to translate cutting-edge research concepts into practical technical solutions. · Excellent communication and documentation skills for both technical and non-technical audiences. · Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning. · Ability to manage multiple research tracks, prototypes, and fast-moving developments.
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Cititec
Head of AI & Cloud
Cititec · Belfast, United Kingdom · via Recruit.net
21 hours ago
Full-time
Apply on Recruit.net
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Job description
Head of AI & Cloud

Managing Director Level | Global Multi-Strat Trading Environment

A global multi-strat trading organisation is seeking a Head of AI & Cloud (group strategy) to lead the next phase of its technology evolution. Operating at Managing Director level (bank equiv), this role blends executive leadership with deep technical authority across cloud engineering, advanced data platforms, a...nd applied AI.

This is not a pure strategy role and not a traditional infrastructure leadership position. You will be responsible for shaping how modern cloud architecture and AI capabilities are embedded into a fast-moving trading ecosystem where technology directly drives performance.

The Opportunity

You will define and execute the long-term vision for AI and cloud across a complex, high-performance trading landscape spanning multiple strategies and asset classes. Working closely with senior trading leadership and executive stakeholders, you will ensure that innovation translates into scalable, production-ready platforms that deliver real commercial value.

Key Responsibilities

• Lead global strategy for AI, machine learning, and cloud platforms across trading, data, and risk environments

• Drive large scale cloud transformation across GCP, Azure, AWS, or hybrid ecosystems

• Establish engineering and architecture standards across distributed systems, data platforms, and platform reliability

• Embed AI into real trading workflows including automation, optimisation, and decision intelligence and be at the cutting edge of how the space is evolving and what this could mean for an elite trading outfid who are nascent on the cloud journey

• Partner with senior business leaders to align technology investment with trading performance

• Build and mentor senior engineering and architecture leadership teams globally

What You Bring

• Proven leadership experience operating at senior or executive level within complex technology and trading organisations

• Deep technical credibility across cloud engineering, distributed systems, and modern data platforms

• Strong understanding of applied AI and machine learning in production environments

• Experience within multi-strat trading, hedge funds, commodities trading, or similar performance-driven environments is highly valuable

• Ability to operate at strategic level while remaining technically fluent and credible with engineering teams
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myGwork - LGBTQ+ Business Community
Sr/Assoc Principal AI Scientist - Hit Discovery & Prot Sci
myGwork - LGBTQ+ Business Community · Cambridge, United Kingdom · via LinkedIn
1 day ago
Full-time
Apply on LinkedIn
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Job description
This job is with AstraZeneca, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Senior/Associate Principal AI Scientist - Hit Discovery and Protein Sciences

Location: Cambridge, UK

Competitive salary and benefits

Introduction To The Role

Are you a curious Data and AI Scientist ...seeking a role where your expertise can make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discover hits and protein reagents in drug discovery.

Diverse Minds. Bold Disruptors. Meaningful Impact through Partnership.

At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.

Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small molecules and peptides discovered using your skills and in partnership with our technical platforms can serve as the seeds for future medicines and make a real difference in our mission to help patients.

You will be based in early drug discovery R&D within the Data Sciences & Quantitative Biology department in Discovery Sciences and will work closely with our colleagues in the Hit Discovery and Protein Sciences departments. To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca.

What you will do

You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and lead data generation platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. We truly believe that everyone has an important role in drug discovery and each individual brings a unique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience.

Essential Requirements

Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable working in a dynamic and team-focussed environment. Critical will be to have effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discovery and Protein Sciences activities, you will bring analytical skills, innovation and your strategic mindset to this exciting and evolving area.

You Also Have

A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine.

Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts.

Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, NoSQL, Graph or file-based approaches).

Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and GitHub) and high-performance computing infrastructure.

Experience reporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments.

Desirables

Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules, and/or proteins

Experience in data analysis of high-throughput assays (peptides / small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics).

Experience in developing software and packages.

Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other scientific proceedings.

Ability to collaborate and build consensus across cross-functional teams.

Ability to identify opportunities and synergies across projects.

Experience in communicating chemistry and protein concepts within a data science context.

Why AstraZeneca

There are many opportunities to develop yourself and your career. From our diverse portfolio and collaboration to our ground-breaking innovations - it's a place for lifelong learning.

You'll be based in our Discovery Centre placed in the heart of the Cambridge Biomedical Campus - an open, welcoming and vibrant centre that will encourage us and our partners to push the boundaries of scientific innovation.

Next Steps

Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Please apply via the link and one of our team members will be in touch as soon as possible. This is being actively recruited so early application is advised.

Where can you find more?

Our social media,

Follow AstraZeneca on LinkedIn

Follow AstraZeneca on Facebook

Follow AstraZeneca on Instagram

Salary: Negotiable

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Director of AI-Driven Executive Talent & Succession

Zero to AI Engineer