Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Key Responsibilities
Design and implement end‑to‑end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
Develop predictive models and statistical analyses using Python, R, or similar tools.
Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.
Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.
Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.
Work with stakeholders to translate business objectives into data science solutions and actionable insights.
Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
Maintain compliance with security and governance standards for data management on AWS.
Life At Capgemini Capgemini supports all aspects of your wellbeing throughout the changing stages of your life and career. For eligible employees, we offer:
Healthcare including dental, vision, mental health, and wellbeing programs
Financial wellbeing programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social wellbeing benefits like subsidized backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
The base salary range for this role in the posted location is $103,330 to $128,656 per year. This role may also include variable compensation such as bonuses or commission.
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.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55‑year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
When you join Capgemini, you don’t just start a new job. You become part of something bigger.
We bring together passionate, skilled people, a tech‑driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology.
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Key Responsibilities
Design and implement end‑to‑end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
Develop predictive models and statistical analyses using Python, R, or similar tools.
Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.
Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.
Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.
Work with stakeholders to translate business objectives into data science solutions and actionable insights.
Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
Maintain compliance with security and governance standards for data management on AWS.
Life At Capgemini Capgemini supports all aspects of your wellbeing throughout the changing stages of your life and career. For eligible employees, we offer:
Healthcare including dental, vision, mental health, and wellbeing programs
Financial wellbeing programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social wellbeing benefits like subsidized backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
The base salary range for this role in the posted location is $103,330 to $128,656 per year. This role may also include variable compensation such as bonuses or commission.
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.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55‑year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
When you join Capgemini, you don’t just start a new job. You become part of something bigger.
We bring together passionate, skilled people, a tech‑driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology.
#J-18808-Ljbffr