## Qualifications
* Ph.D. in Computer Science or related field
* Strong background in Generative AI models
* Experience with deep learning frameworks such as TensorFlow or PyTorch
## Responsibilities
* The role involves conducting research, developing innovative generative AI technologies, and collaborating with our team
* Conduct research on state-of-the-art generative AI models and develop new technologies
* Collaborate with our team to integrate new AI features into our platform
* Work closely with product managers to prioritize feature development based on business needs

## Full Description
About the Role

Join a talented team of researchers and engineers at Adobe as an Applied Scientist in Generative AI to enhance their AI Platform. The role involves conducting research, developing innovative generative AI technologies, and collaborating with our team.

Key Responsibilities:

• Conduct research on state-of-the-art generative AI models and develop new technologies.

• Collaborate with our team to integrate new AI features into our platform.

• Work closely with product managers to prioritize feature development based on business needs.

Required Skills and Experience:

• Ph.D. in Computer Science or related field.

• Strong background in Generative AI models.

• Experience with deep learning frameworks such as TensorFlow or PyTorch.



## Qualifications
* Key skills required include business analysis, cloud platforms, and data literacy
* The ideal candidate will have a bachelor's degree in a related field and 5+ years of experience in AI roles
## Benefits
* $150,000 - $200,000 per year
## Responsibilities
* To achieve this goal, they are seeking an experienced AI Operations Analyst
* Discover and prioritize AI use cases for business value creation
* Develop and maintain cloud platforms for data-driven decision making
* Collaborate with cross-functional teams to implement AI solutions

## Full Description
Seattle AI Operations Analyst: Drive Production AI

The company aims to enhance both customer and employee experiences through AI use cases. To achieve this goal, they are seeking an experienced AI Operations Analyst.

• Discover and prioritize AI use cases for business value creation

• Develop and maintain cloud platforms for data-driven decision making

• Collaborate with cross-functional teams toimplement AI solutions

Key skills required include business analysis, cloud platforms, and data literacy. The ideal candidate will have a bachelor's degree in a related field and 5+ years of experience in AI roles.

Competitive Pay Range:

$150,000 - $200,000 per year




## Full Description
Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD / hr and additional rewards based on quality of submission.

Outlier is committed to improving the intelligence & safety of AI models.

Owned and operated by Scale AI , we’ve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AIcan only perform as well as the data it’s trained on. That’s why

we work with contributors from all over the world , who help

improve AI models by providing expert human feedback . This data has

led to AI advancements for the world's leading AI labs

and large language model builders.

We’ve built a

best-in-class remote work platform for our freelance contributors

to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What you will be doing

We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.

Adopt a “user mindset”

to produce natural data to meet the realistic needs you have or would use AI for.

Use the tool of

rubrics

to address user needs in a structured way.

Evaluate AI outputs

by reviewing and ranking reasoning and problem-solving responses from large language models.

Contribute across projects

depending on your specific skillset and experience.

What we’re looking for

Education : Bachelor’s degree or higher (or currently enrolled).

Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.

Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses.

Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs.

Nice to Haves :

Experience in fields like literature, creative writing, history, philosophy, theology, etc.

Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

Interest or background in AI, machine learning, or creative tech tools.

Compensation and benefits

Earn up to $15 USD / hr, paid out weekly

Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM

Free access to

Model Playground

Interact, experiment and engage with leading large language models free of cost

Flexible schedule and

time commitment

No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours / week, up to 40 hours working from home

Join a global community of

Coding experts

Join a global network of experts contributing to advanced AI tools

Disclaimer :

For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Equal Opportunity Employer :

Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.




## Full Description
Software Automation Engineer – Hybrid (Edinburgh)

Join a fast-growing SaaS tech business on an exciting journey of innovation and expansion!

Excellent opportunity for Software Automation Engineer to become an integral part of a high calibre cross-functional engineering team. This is a fantastic opportunity to work with cutting-edge technology and help shape the future of collaborative software solutions used by leading global organisations.

Why this role?

You will partner with developers, product managers, and designers to embed quality into every stage of the development process. You will champion test automation, drive best practices, and ensure their products deliver exceptional performance and reliability.

What you will do:

• Collaborate with developers to design testable solutions and integrate testing into workflows.

• Build and maintain automated test suites (unit, integration, API, E2E, performance).

• Develop testing frameworks and tools to improve speed and stability.

• Promote shift-left testing practices for early defect prevention.

• Contribute to CI/CD pipelines for fast, reliable feedback loops.

• Analyse test failures and work with teams to resolve issues quickly.

Your skills and experience:

• Strong experience in automated testing (API, UI, integration, acceptance, unit).

• Proficiency in languages like TypeScript, Java, or C#.

• Hands-on experience with frameworks such as Playwright or Cypress.

• Solid understanding of CI/CD pipelines and tools (GitHub Actions, Jenkins).

• Familiarity with microservices, cloud environments, and containerisation (Docker, Kubernetes).

• Excellent communication, collaboration, and a continuous improvement mindset.

Additional information

• Hybrid working – 3 days in a vibrant Edinburgh city centre office.

• Competitive salary and benefits including contributory pension, health insurance, and enhanced parental leave.

• 33 days annual holiday, flexible working, and loyalty share scheme.

• Regular social events, mindfulness sessions, and a yearly development retreat.

Be part of a culture that values innovation, collaboration, and growth.

If you are passionate about quality and want to make an impact in a fast-paced SaaS environment, please get in touch



## Qualifications
* Experience: 3+ years of experience in AI, Machine Learning, or Data Science, with a strong preference for experience in a manufacturing or industrial setting
* Technical Prowess:
* Proficiency in Python and its key ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
* Strong SQL skills for data querying and manipulation
* Familiarity with data visualization tools (e.g., Power BI, Tableau)
* Basic understanding of MLOps concepts for model deployment and management
* Domain Knowledge (Nice to have): Understanding of manufacturing processes, data sources (like MES, ERP), and common challenges (e.g., quality control, predictive maintenance, order backlog etc)
* Problem-Solving Skills: A curious mind and the ability to break down complex problems into manageable, data-driven solutions
* Collaboration & Communication: Excellent communication skills to work effectively with diverse teams, from plant operators to senior leadership
* Experience with cloud platforms (AWS, Azure, GCP)
* Knowledge of time-series analysis, anomaly detection, or optimization techniques
## Benefits
* Listed salary ranges may vary based on experience, qualifications, and local market
* Also, some positions may include bonuses or other incentives
## Responsibilities
* Groom AI/ML Use Cases: Collaborate with our manufacturing and business teams to pinpoint opportunities where AI and machine learning can solve problems, improve efficiency, and create value
* You'll help define project scopes and success metrics
* Execute End-to-End ML Projects: Take ownership of machine learning initiatives from start to finish
* This includes everything from data collection and preparation to model development, deployment, and ongoing monitoring in production environments
* Programming & Data Engineering: Write clean, efficient code (primarily in Python) to build data pipelines, develop machine learning models, and automate analytical workflows
* You'll also work with SQL for data extraction and manipulation
* Data Analysis & Modeling: Dive deep into manufacturing data (from sources like MES, ERP, and IoT sensors) to uncover patterns, engineer features, and build robust predictive or prescriptive models (e.g., for quality, maintenance, or process optimization)
* Communicate Insights: Translate complex technical findings into clear, understandable recommendations for non-technical stakeholders, helping them make data-driven decisions

## Full Description
Stefanini Group is hiring!

Exciting opportunity awaits, let us help you get started!

Click Apply now or you may call Ranjit Kumar +1 (248) 936-0662 or email at Rachit.Rastogi@stefanini.com for faster processing!

Role and Responsibility:

• Groom AI/ML Use Cases: Collaborate with our manufacturing and business teams to pinpoint opportunities where AI and machine learning can solve problems, improve efficiency, and create value. You'll help define project scopes and success metrics.

• Execute End-to-End ML Projects: Take ownership of machine learning initiatives from start to finish. This includes everything from data collection and preparation to model development, deployment, and ongoing monitoring in production environments.

• Programming & Data Engineering: Write clean, efficient code (primarily in Python) to build data pipelines, develop machine learning models, and automate analytical workflows. You'll also work with SQL for data extraction and manipulation.

• Data Analysis & Modeling: Dive deep into manufacturing data (from sources like MES, ERP, and IoT sensors) to uncover patterns, engineer features, and build robust predictive or prescriptive models (e.g., for quality, maintenance, or process optimization).

• Communicate Insights: Translate complex technical findings into clear, understandable recommendations for non-technical stakeholders, helping them make data-driven decisions.

Expectation from the Candidate:

• Experience: 3+ years of experience in AI, Machine Learning, or Data Science, with a strong preference for experience in a manufacturing or industrial setting.

• Technical Prowess:

• Proficiency in Python and its key ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Strong SQL skills for data querying and manipulation.

• Familiarity with data visualization tools (e.g., Power BI, Tableau).

• Basic understanding of MLOps concepts for model deployment and management.

• Domain Knowledge (Nice to have): Understanding of manufacturing processes, data sources (like MES, ERP), and common challenges (e.g., quality control, predictive maintenance, order backlog etc).

• Problem-Solving Skills: A curious mind and the ability to break down complex problems into manageable, data-driven solutions.

• Collaboration & Communication: Excellent communication skills to work effectively with diverse teams, from plant operators to senior leadership.

Nice-to-Haves:

• Experience with cloud platforms (AWS, Azure, GCP).

• Knowledge of time-series analysis, anomaly detection, or optimization techniques.

Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like Americas, Europe, Africa and Asia, and more than 400 clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting, company with global presence. We are CMM Level 5 company.




## Full Description
Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a uniqueset of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Business & Data Analyst - Service Mapping & Strategy

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

What is the opportunity?

This is an exciting opportunity in shaping the strategy to enable service resilience, technology transformation, and client-focused service operations across the live-markets portfolio of RTP International and also to support business functions to identify, own, manage and report how they operate and identify improvements. You will collaborate with product, engineering, risk, and business teams to translate complex data into actionable intelligence that improves customer experience, system resilience, and business growth.

The successful candidate will become part of a high performing team, dedicated to delivering payment services across the globe, underpinning over 32 billion transactions a year.

This role is part of the Operational Resilience Framework, with a reporting line into the Service Transparency Director.

Role

The Service Data Analyst will support in shaping, executing and evolving the plans and roadmap to achieve a stable and resilient Real-Time Payment service. Working in collaboration with other functions such as Business and Service Operations, Engineering, Risk, Controls, Product and Customer Account teams; in line with wider Technology and Operations team, the Service Data Analyst role will facilitate and uplift the establishment of an organisation-wide view of our services and resources; mapping contracted and operational services to the products, technology, people, data, infrastructure and processes required to deliver them and execute the definition of detailed service maps, identify gaps in resilience and deliver identifiable improvements in accordance with the wider business, customer, regulatory and compliance requirements.

The Service Data Analyst will also support the development and execution of service management strategy aligned with Mastercard’s RTP International business and technology objectives. They will translate strategic roadmaps into concrete execution plans, milestones, and success metrics and partner with product and engineering teams to ensure operational readiness for platform enhancements, market launches, and regulatory changes.

Responsibilities

· Support the development of the overall Service Mapping approach and strategy and defining standards

· Lead the development and uplift of artefacts required to deliver service maps and catalogues for each service; aligned with the Service Taxonomy model

· Define outputs and the activities required to deliver fit-for-purpose service maps for each type of service; identifying gaps in resilience or improvements to be assessed within a risk-based model.

· Lead data, technology and process analysis activities including information gathering, desk research, stakeholder engagement and workshop facilitation; supporting and uplifting current BAU support mechanisms in line with the service mapping approach

· Collaborate with the wider operational resilience team to develop outputs and artefacts, such as findings reports, service maps, leadership presentations that deliver insights and recommendations based on the specific service mapping activities; informing and developing improvements to improve automation and tooling to support BAU service mapping rollout

· Report on progress; aligning with key objectives being measured above and co-ordinating activities with peers

· Identify gaps in service maturity and drive targeted initiatives to improve stability, resilience, and scalability

· Translate complex technical and operational topics into clear, actionable insights for senior stakeholders

· Partner with regional teams to ensure consistent service standards while accommodating local market requirements

Experience

· Extensive experience in business, data and process analysis; driving improvement through data-driven insights, communication, and strategic thinking to boost efficiency and achieve goals

· Extensive experience in ITIL methodology; proven understanding and application of service mapping within an IT service management practice

· Strong experience and clear understanding of service analysis and mapping, including regulatory, contractual, and operational service perspectives across complex inter-dependant services

· Good communicator with moderate experience in stakeholder management and engagement

· Good understanding Mastercard Realtime / Faster Payments services, processes, technologies, and solutions

· Workshop design and facilitation experience beneficial but not essential

· Moderate professional experience in financial services, cards, payments, or another related field

· Experience building relationships and working with technical, business and financial stakeholders

A bit about you

- Strong analytical and strategic thinking skills with a bias for execution and measurable results.

- Proven track record of leading high-stakes strategic projects with significant impact, demonstrating an ability to navigate and influence at the highest levels of the organization.

- A problem-solver with an analytical mindset, capable of cutting through noise and complexity to deliver clear, actionable insights.

- Able to work with minimal supervision.

- Analytical and able to express complex data meaningfully.

- Excellent communication skills - using all relevant channels and resources to communicate effectively and proactively.

- Team Player – ability to build and maintain effective working relationships with a wide range of people.

- Demonstrate strong discipline regarding accuracy and quality of output.

- Sound understanding of data-analytics methods and technical risk management.

- Advanced knowledge of Excel, PowerPoint and Confluence reporting capabilities, knowledge of other common reporting tools (e.g., Open Pages, PowerBI, PowerApps etc.) a plus.

- Inquisitive and curious work ethic, willing to challenge existing processes and comfortable trying new ways of working and processes.

- Demonstrable expertise in managing service design workflows, ITIL methods, including skillset in deploying best-practice methodology design and validate outcomes.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.



## Qualifications
* EducationBachelor's degree or higher (or currently enrolled)
* Analytical and Problem-Solving SkillsAbility to develop complex, professional-level prompts and evaluate nuanced AI reasoning
* Strong WritingClear, concise, and engaging writing to explain decisions or critique responses
* Attention to DetailCommitment to accuracy and ability to assess technical aspects of model outputs
* Experience in fields like literature, creative writing, history, philosophy, theology, etc
* Prior writing or editorial experience (content strategist, technical writer, editor, etc.)
* Interest or background in AI, machine learning, or creative tech tools
## Benefits
* Earn up to $15 USD/hr and additional rewards based on quality of submission
* Compensation And Benefits
* Earn up to $15 USD/hr, paid out weekly
* Rates vary based on quality, accuracy, and time spent
* Paid via PayPal & AirTM
* Free access to
* Flexible schedule and
* time commitment
* (Most experts spend 5-10 hours/week, up to 40 hours working from home
* Certain projects offer incentive payments
## Responsibilities
* We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems
* Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for
* Use the tool of rubrics to address user needs in a structured way
* Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models
* Contribute across projects depending on your specific skillset and experience
* Interact, experiment and engage with leading large language models free of cost
* Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply

## Full Description
Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission.

Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI canonly perform as well as the data it's trained on. That's why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders.

We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What You Will Be Doing

We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.

• Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for.

• Use the tool of rubrics to address user needs in a structured way.

• Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.

• Contribute across projects depending on your specific skillset and experience.

What We're Looking For

• EducationBachelor's degree or higher (or currently enrolled).

• Analytical and Problem-Solving SkillsAbility to develop complex, professional-level prompts and evaluate nuanced AI reasoning.

• Strong WritingClear, concise, and engaging writing to explain decisions or critique responses.

• Attention to DetailCommitment to accuracy and ability to assess technical aspects of model outputs.

Nice to Haves:

• Experience in fields like literature, creative writing, history, philosophy, theology, etc.

• Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

• Interest or background in AI, machine learning, or creative tech tools.

Compensation And Benefits

Earn up to $15 USD/hr, paid out weekly

Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM

Free access to

Model Playground

Interact, experiment and engage with leading large language models free of cost

Flexible schedule and

time commitment

No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home

Join a global community of

Coding experts

Join a global network of experts contributing to advanced AI tools

Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.



## Qualifications
* Proven experience in solution architecture for Data and AI platforms, including hyperscaler environments (Azure, AWS, GCP)
* Strong ability to translate complex technical concepts into clear business outcomes, ensuring alignment with organizational goals
* Excellent communication and stakeholder engagement skills, with experience influencing senior leaders and cross-functional teams
* Solid understanding of enterprise processes and functional domains to ensure data strategies support business objectives (Finance and Supply Chain expertise is complementary but not primary for this role)
* Excellent communication and client engagement skills
* Expertise in Agentic AI, Generative AI, and advanced analytics
* Ability to translate technical concepts into business outcomes
## Benefits
* Increase in billable hours and project revenue directly attributable to the architect's Data & AI solutions
* Increased deal closure rates through compelling solution design
* This role may be eligible for other compensation including variable compensation, bonus, or commission
* Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees
* Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable
* The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law
## Responsibilities
* This role is accountable for shaping and executing the organization's data and AI strategy to deliver intelligent, scalable, and future-ready solutions
* It will lead the creation of strong data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the enterprise
* The position will also design and optimize modern data architectures on hyperscaler platforms, enabling advanced analytics and AI-driven capabilities that unlock actionable insights and accelerate innovation
* Ultimately, this role ensures that data and AI initiatives translate into measurable business outcomes
* Define and execute the enterprise data and AI strategy to enable intelligent, scalable, and future-ready solutions for our engagements
* Establish robust data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the organization
* Design and optimize modern data architectures on hyperscaler platforms (e.g., Azure, AWS, GCP) to support advanced analytics and AI-driven capabilities
* Drive AI adoption and innovation, leveraging data to unlock actionable insights and accelerate transformation
* Collaborate with business stakeholders across functional areas to ensure data capabilities deliver measurable business outcomes
* Integrate automation as an enabler, complementing data and AI initiatives to enhance agility and efficiency
* Champion best practices and standards for data quality, governance, and architecture to support enterprise-wide scalability
* Enable and maximize billability
* Demonstrated ROI for clients via measurable operational improvements
* Adoption of AI-driven solutions across targeted business functions

## Full Description
About Capgemini:

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms! Building on its strong 50-year heritage and deep industry-specific expertise, We enable organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries!

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Position Summary:

This role is accountable for shaping and executing the organization's data and AI strategy to deliver intelligent, scalable, and future-ready solutions. It will lead the creation of strong data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the enterprise. The position will also design and optimize modern data architectures on hyperscaler platforms, enabling advanced analytics and AI-driven capabilities that unlock actionable insights and accelerate innovation. Ultimately, this role ensures that data and AI initiatives translate into measurable business outcomes.

Key Responsibilities:

• Define and execute the enterprise data and AI strategy to enable intelligent, scalable, and future-ready solutions for our engagements

• Establish robust data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the organization

• Design and optimize modern data architectures on hyperscaler platforms (e.g., Azure, AWS, GCP) to support advanced analytics and AI-driven capabilities

• Drive AI adoption and innovation, leveraging data to unlock actionable insights and accelerate transformation

• Collaborate with business stakeholders across functional areas to ensure data capabilities deliver measurable business outcomes

• Integrate automation as an enabler, complementing data and AI initiatives to enhance agility and efficiency

• Champion best practices and standards for data quality, governance, and architecture to support enterprise-wide scalability

• Enable and maximize billability

Qualifications:

• Proven experience in solution architecture for Data and AI platforms, including hyperscaler environments (Azure, AWS, GCP)

• Strong ability to translate complex technical concepts into clear business outcomes, ensuring alignment with organizational goals

• Excellent communication and stakeholder engagement skills, with experience influencing senior leaders and cross-functional teams

• Solid understanding of enterprise processes and functional domains to ensure data strategies support business objectives (Finance and Supply Chain expertise is complementary but not primary for this role)

• Excellent communication and client engagement skills

• Expertise in Agentic AI, Generative AI, and advanced analytics

• Ability to translate technical concepts into business outcomes

Success Metrics:

• Increase in billable hours and project revenue directly attributable to the architect's Data & AI solutions

• Increased deal closure rates through compelling solution design

• Demonstrated ROI for clients via measurable operational improvements

• Adoption of AI-driven solutions across targeted business functions

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert salary range]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.



## Qualifications
* Analytical and Problem-Solving Skills: Ability to craft thoughtful prompts and evaluate nuanced AI responses with sound judgment
* Strong Written Communication: Clear, structured writing to explain decisions, provide feedback, and articulate why one response is stronger than another
* Care and Precision in Execution: A consistent ability to follow guidelines, notice subtle differences, and ensure outputs meet defined quality standards
* Background in fields such as literature, creative writing, history, philosophy, theology, or similar disciplines
* Prior experience in writing or editorial roles, such as content strategy, technical writing, or editing
* Curiosity about AI systems, machine learning, or creative technology tools
## Benefits
* Earn up to $16 USD/hourly and work fully remotely and flexibly
* Base Rate: depending on location: US $16.07, GB £ 13.30 GBP, CA $20.50 CAD, AU $26.25 AUD, IE €14.60 EUR, NZ $26.00 NZD
* Bonuses: Additional pay available based on project performance
* Type: Freelance/1099 contract - not an internship
* Schedule: Flexible hours - you choose when and how much to work
* Payouts: Weekly via our secure platform
* This is a freelance position that is paid on a per-hour basis
## Responsibilities
* Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice
* Review, compare, and rank responses generated by large language models, focusing on usefulness, clarity, and reasoning quality
* Contribute across a range of projects based on your skills, interests, and experience

## Full Description
Earn up to $16 USD/hourly and work fully remotely and flexibly.

Outlier, a platform owned and operated by Scale AI, is looking for English speakers to contribute their expertise toward training and refining cutting-edge AI systems. If you're passionate about improving models and excited by the future of AI, this is your opportunity to make a real impact.

What You'll Do

• Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

• Review, compare, and rank responses generated by large language models, focusing on usefulness, clarity, and reasoning quality.

• Contribute across a range of projects based on your skills, interests, and experience.

What We're Looking For

• Analytical and Problem-Solving Skills: Ability to craft thoughtful prompts and evaluate nuanced AI responses with sound judgment.

• Strong Written Communication: Clear, structured writing to explain decisions, provide feedback, and articulate why one response is stronger than another.

• Care and Precision in Execution: A consistent ability to follow guidelines, notice subtle differences, and ensure outputs meet defined quality standards.

Nice to Have

• Background in fields such as literature, creative writing, history, philosophy, theology, or similar disciplines.

• Prior experience in writing or editorial roles, such as content strategy, technical writing, or editing.

• Curiosity about AI systems, machine learning, or creative technology tools.

Pay & Logistics

• Base Rate: depending on location: US $16.07, GB £ 13.30 GBP, CA $20.50 CAD, AU $26.25 AUD, IE €14.60 EUR, NZ $26.00 NZD

• Bonuses: Additional pay available based on project performance.

• Type: Freelance/1099 contract - not an internship.

• Location: 100% remote

• Schedule: Flexible hours - you choose when and how much to work.

• Payouts: Weekly via our secure platform.

This is a freelance position that is paid on a per-hour basis. We don't offer internships as this is a freelance role. You also must be authorized to work in your country of residence, and we will not be providing sponsorship since this is a 1099 contract opportunity. However, if you are an international student, you may be able to sign up if you are on a visa. You should contact your tax/immigration advisor with specific questions regarding your circumstances. We are unable to provide any documentation supporting employment at this time. Please be advised that compensation rates may differ for non-US locations.




## Full Description
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The application window will be open until at least December 15, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

Note : By applying to this position you will have an opportunity to share your preferred working location from the following : Austin, TX, USA; Toronto, ON,Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA .

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience project managing and delivering technical solutions.

• Experience in one or more discipline areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.

• Experience with technical client service (e.g. consulting).

Preferred qualifications

• Experience in systems design with the ability to explain data analytics pipelines and data flows.

• Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).

• Experience designing and deploying with one or more of the following technologies such as TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-Learn.

• Excellent communication, presentation and problem solving skills.

About The Job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web‑scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI / ML Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI / ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

In this role, you possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will know how to navigate ambiguity and deliver customer success. You have excellent client‑facing communication and project management skills.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full‑time position is $147,000‑$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.

• Propose solutions and manage the deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.

• Work with internal specialists, Product, and Development teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.

• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.

• Travel 30% of the time for client engagements.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Project Management, Consulting, and Engineering

Industries

Information Services and Technology, Information and Internet

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## Qualifications
* The ideal candidate is a proven sociotechnical translator who understands regulatory and customer needs alongside engineering realities to bridge perspectives
* A solid technical foundation is essential to grasp measurement and mitigation techniques
* Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development
* OR equivalent experience
* 1+ year(s) of experience managing cross-functional and/or cross-team projects
* Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
* Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
## Benefits
* Technical Program Management IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year
* There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year
* Certain roles may be eligible for benefits and other compensation
## Responsibilities
* Assessment Leads evaluate generative AI release risks and collaborate with product, policy, research, and engineering teams to design and implement requirements and best practices
* This role requires a deep understanding of generative AI use cases, responsible AI principles, and product and program management to uphold commitments while enabling innovation
* A successful candidate will rigorously understand problems and collectively solve them, and apply pattern-matching, a product mindset, and user-centric perspectives to improve Microsoft’s responsible AI ecosystem and shape next-generation AI products
* Assess product releases for responsible AI risks and mitigation effectiveness while building working relationships and trust
* Serve as a domain expert in generative AI technology, customer use cases, and responsible AI practices
* Identify patterns and gaps across use cases, assessments, and requirements, helping others define new solutions and collaborating with engineering and policy partners to clarify requirements and close gaps
* Help drive continuous improvements in process efficiency and effectiveness at scale, including scaling your knowledge of generative AI technology and use cases, and translating policies into responsible AI practices

## Full Description
Overview

Are you passionate about making AI systems safe, secure, and trustworthy? Microsoft’s Responsible AI (RAI) team in CoreAI seeks an entrepreneurial, hands-on Responsible AI Assessment Lead to partner across functions and shape responsible AI systems and generative AI products. Assessment Leads evaluate generative AI release risks and collaborate with product, policy, research, and engineering teams to design and implement requirements and best practices.

The ideal candidate is a proven sociotechnical translator who understands regulatory and customer needs alongside engineering realities to bridge perspectives. This role requires a deep understanding of generative AI use cases, responsible AI principles, and product and program management to uphold commitments while enabling innovation. A solid technical foundation is essential to grasp measurement and mitigation techniques.

A successful candidate will rigorously understand problems and collectively solve them, and apply pattern-matching, a product mindset, and user-centric perspectives to improve Microsoft’s responsible AI ecosystem and shape next-generation AI products.

Microsoft’s RAI team on CoreAI helps ensure the responsible development and deployment of cutting-edge AI-first products across Microsoft. If you join the RAI team, you will join an organization committed to partnering with stakeholders across policy, research, and engineering to help every product team in Microsoft ship these evolving technologies responsibly.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Assess product releases for responsible AI risks and mitigation effectiveness while building working relationships and trust.

• Serve as a domain expert in generative AI technology, customer use cases, and responsible AI practices.

• Identify patterns and gaps across use cases, assessments, and requirements, helping others define new solutions and collaborating with engineering and policy partners to clarify requirements and close gaps.

• Help drive continuous improvements in process efficiency and effectiveness at scale, including scaling your knowledge of generative AI technology and use cases, and translating policies into responsible AI practices.

Qualifications

Required Qualifications:

• Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development

• OR equivalent experience.

• 1+ year(s) of experience managing cross-functional and/or cross-team projects.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience in Responsible AI and/or AI safety

• Experience with machine learning / AI

• Bachelor's Degree AND 6+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience

• 4+ years of experience managing cross-functional and/or cross-team projects

• Experience with Generative AI

• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)

• Experience using AI tools

Technical Program Management IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.



Applied Scientist — Generative AI

Qualifications

Responsibilities

Full Description