Capgemini Engineering is seeking a 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), to deliver scalable, ethical, and production-ready AI solutions.
Requirements
- 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).
- 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).
Responsibilities
- 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.
Other
- 5+ years of experience in applied machine learning, with at least 2 years in generative AI.
- Excellent problem-solving, communication, and collaboration skills.
- Experience in deploying models in enterprise environments.
- 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.
- 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.
