Data Scientist

Capgemini • Houston, TX • 8h ago

About the job you're considering

We are seeking a highly skilled and innovative Generative AI/ML Data Scientist to lead the end-to-end development of advanced AI and machine learning models, with a specialized focus on Generative AI technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). This role combines deep technical expertise with strategic thinking to deliver scalable, ethical, and production-ready AI solutions.

Your role

Design, develop, and fine-tune generative AI models including LLMs, transformers, and diffusion models.

Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance and @contextual relevance.

Conduct cutting-edge research in generative AI, staying abreast of the latest advancements in the field.

Develop data pipelines for continuous model improvement and monitoring.

Collaborate with engineering teams to deploy models into production environments using MLOps best practices.

Optimize models for latency, scalability, and cost-efficiency in real-world applications.

Communicate complex technical concepts to non-technical stakeholders.

Your skills and experience

Bachelor's or Ph.D. in Computer Science, Data Science, Machine Learning, or related field.

5 years of experience in applied machine learning, with at least 2 years in generative AI.

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers.

Strong understanding of LLM architectures, training techniques, and evaluation metrics.

Experience with vector databases (e.g., FAISS, Pinecone) and RAG implementations.

Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

Excellent problem-solving, communication, and collaboration skills.

Nice to Have

Experience with multimodal generative models (e.g., text-to-image, speech-to-text).

Contributions to open-source AI/ML projects or published research.

Knowledge of MLOps tools (MLflow, Weights & Biases).

Experience in deploying models in enterprise environments.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being 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 well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities &

Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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. The Group reported 2024 global revenues of 22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging inclusion 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Job: Programmer/Analyst

Organization: ERD PPL US

Title: Data Scientist

Location: TX-Houston

Requisition ID: 081661

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