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.

Job Description

Job Title: Data Scientist

Responsibilities

• Help define Generative AI Strategy & implement it aligning with enterprise-wide goals
• Collaborate with internal stakeholders to identify business challenges that can be solved through GenAI creating scalable solutions
• Lead the design development and deployment of AI models and algorithms ensuring solutions are robust efficient and scalable.
• Deep knowledge of LLMs and advanced fine-tuning techniques and proficient in Parameter-Efficient Fine-Tuning (PEFT) methods including LoRA QLoRA Adapter Tuning and Prefix Tuning.
• Expertise in model compression and quantization methods and be skilled in techniques like AWQ and GPTQ particularly GPTQ-for-LLaMA Adept at prompt engineering demonstrating proficiency in various techniques and best practices.
• Familiarity with tools and frameworks that facilitate effective prompt design is necessary to guide the team in creating powerful and efficient AI interactions.
• Advanced knowledge of RAG techniques is required including expertise in hybrid search methods multi-vector retrieval Hypothetical Document Embeddings (HyDE) self-querying query expansion re-ranking and relevance filtering.
• Proficiency in TensorFlow PyTorch and high-level APIs like Keras is essential.
• Advanced NLP skills including Named Entity Recognition (NER) Dependency Parsing Text Classification and Topic Modeling.
• Experience with Transfer Learning Few-shot and Zero-shot learning paradigms is crucial.
• Expertise in containerization (Docker) orchestration (Kubernetes) and experience with CI/CD pipelines for AL/ML model deployment.
• Strong proficiency in data preprocessing feature engineering and handling large-scale datasets is required.
• Experience with real-time AI applications and streaming data processing is valuable.
• Experienced with cutting-edge generative AI tools including LangChain for building LLM applications LlamaIndex for context-augmented generative AI and Hugging Face Transformers.
• Experience in implementing guardrails to ensure ethical AI usage and mitigate risks is crucial.
• Familiarity with frameworks such as Microsoft's AI Guidance Framework will be beneficial in maintaining responsible AI development and deployment practices Exp with of Data Mesh Cloud Architecture integrating AI models into existing and future architectures
• Experience in Financial services industry.
• Preferably focusing on Controls Technology domain
• Ability to build lead high-performing AI teams
• Strong interpersonal skills to work effectively across technical and non-technical teams influencing decision-making at all levels.

• 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