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Data Scientist - AWS - Automotive
Lisboa, PT
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build and maintain AI/ML models for automotive business use cases
Develop and optimize data pipelines and feature engineering workflows
Implement MLOps practices including deployment, monitoring and CI/CD
Develop and maintain RAG solutions and vector databases
Support fine-tuning and evaluation of LLMs and diffusion models
From the employer’s posting
Design, build and maintain AI/ML models, ensuring performance, scalability and reliability across different business use cases.
Develop and optimize data pipelines, feature engineering processes and large-scale data processing workflows.
Implement and support MLOps practices, including model deployment, monitoring, CI/CD pipelines and lifecycle management.
Develop and maintain Retrieval-Augmented Generation (RAG) solutions, vector databases and knowledge-driven AI applications.
Support the implementation, fine-tuning and evaluation of Large Language Models (LLMs), transformer architectures and diffusion models.
About Capgemini Service SAS
We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
343 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- Kubernetes
- SageMaker
- Hugging Face
- PyTorch
- TensorFlow
- Transformers
Where the posting names them
- Experience in Data Science, Machine Learning, Generative AI or AI Engineering roles. - Proficiency in Python, SQL and Machine Learning frameworks such as TensorFlow, PyTorch and Hugging Face Transformers. - Experience with AWS AI/ML services, including SageMaker, Bedrock, Lambda and Comprehend.
- Proficiency in Python, SQL and Machine Learning frameworks such as TensorFlow, PyTorch and Hugging Face Transformers. - Experience with AWS AI/ML services, including SageMaker, Bedrock, Lambda and Comprehend. - Hands-on experience with Large Language Models (LLMs), embeddings, transformers and diffusion models.
- Knowledge of MLOps, containerization technologies such as Docker, Kubernetes and ECS, and CI/CD practices for ML pipelines. - Strong data engineering skills for processing large datasets using AWS Glue, Athena, Spark or similar technologies. - Understanding of cloud optimization, distributed computing and model scaling principles.
- Knowledge of ethical AI principles, bias mitigation and AI safety best practices. - AWS Certified Machine Learning – Specialty certification is considered a plus. - Experience with real-time AI applications, chatbot development or autonomous agent solutions is considered a plus.
- Experience with Retrieval-Augmented Generation (RAG), vector databases and knowledge graphs. - Knowledge of MLOps, containerization technologies such as Docker, Kubernetes and ECS, and CI/CD practices for ML pipelines. - Strong data engineering skills for processing large datasets using AWS Glue, Athena, Spark or similar technologies.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
CAPGEMINI ENGINEERING
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLE
- Support the development, deployment and optimization of Data Science, Machine Learning and Generative AI solutions in Automotive background.
- Design, build and maintain AI/ML models, ensuring performance, scalability and reliability across different business use cases.
- Develop and optimize data pipelines, feature engineering processes and large-scale data processing workflows.
- Implement and support MLOps practices, including model deployment, monitoring, CI/CD pipelines and lifecycle management.
- Develop and maintain Retrieval-Augmented Generation (RAG) solutions, vector databases and knowledge-driven AI applications.
- Support the implementation, fine-tuning and evaluation of Large Language Models (LLMs), transformer architectures and diffusion models.
- Collaborate with data engineers, software engineers, cloud architects and business stakeholders to deliver AI-driven solutions.
- Contribute to AI platform evolution, cloud optimization, model scaling and continuous improvement initiatives.
YOUR PROFILE
- Degree in Data Science, Computer Science, Artificial Intelligence, Engineering or a related field.
- Experience in Data Science, Machine Learning, Generative AI or AI Engineering roles.
- Proficiency in Python, SQL and Machine Learning frameworks such as TensorFlow, PyTorch and Hugging Face Transformers.
- Experience with AWS AI/ML services, including SageMaker, Bedrock, Lambda and Comprehend.
- Hands-on experience with Large Language Models (LLMs), embeddings, transformers and diffusion models.
- Experience with Retrieval-Augmented Generation (RAG), vector databases and knowledge graphs.
- Knowledge of MLOps, containerization technologies such as Docker, Kubernetes and ECS, and CI/CD practices for ML pipelines.
- Strong data engineering skills for processing large datasets using AWS Glue, Athena, Spark or similar technologies.
- Understanding of cloud optimization, distributed computing and model scaling principles.
- Knowledge of NLP, image generation models, multimodal AI solutions and Generative AI technologies.
- Experience with fine-tuning open-source models such as LLaMA, Falcon, Mistral and Stable Diffusion.
- Knowledge of ethical AI principles, bias mitigation and AI safety best practices.
- AWS Certified Machine Learning – Specialty certification is considered a plus.
- Experience with real-time AI applications, chatbot development or autonomous agent solutions is considered a plus.
WHAT YOU’LL LOVE ABOUT WORKING HERE
- Join a multicultural and inclusive team environment.
- Enjoy a supportive atmosphere promoting work life balance.
- Hybrid work.
- Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
- Access valuable training and certifications in cutting edge technologies.
- Engage in exciting national and international projects.
- Health and life insurance.
- Referral program with bonuses for talent recommendations.
- Great office locations.
ABOUT CAPGEMINI
Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lisboa, PT
- Enjoy a supportive atmosphere promoting work life balance. - Hybrid work. - Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.