Capgemini
Data Scientist
Capgemini, New York, New York, us, 10261
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Job Title: Data ScientistResponsibilitiesHelp 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 AI/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.Experience in Financial services industry, preferably focusing on Controls Technology domain.Ability to build and lead high-performing AI teams.Strong interpersonal skills to work effectively across technical and non-technical teams influencing decision-making at all levels.Qualifications :Bachelor's degree with 12+ years of experience 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: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.
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Job Title: Data ScientistResponsibilitiesHelp 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 AI/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.Experience in Financial services industry, preferably focusing on Controls Technology domain.Ability to build and lead high-performing AI teams.Strong interpersonal skills to work effectively across technical and non-technical teams influencing decision-making at all levels.Qualifications :Bachelor's degree with 12+ years of experience 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: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.
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