Data Scientist - Capgemini Engineering : Job Details

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 bya 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 organizationsunlock 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.

Qualifications: Bachelors degree with 12+ years of exp in Data AI ML 10+ years of experience in AI/ML with at least 3 years in Generative AI. 5+ years of leadership experience managing AI teams and delivering complex AI solutions. 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

Disclaimer 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. 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 get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.