Senior Data Scientist - Gen AI

Full-time - Senior

Brooklyn, IL

About the position

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 Location - New York NY (Day One Onsite - 3 days in a week)

Responsibilities

• Architect and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.
• Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.
• Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
• Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members.

Requirements

• Bachelors degree with 10-12 years of experience in Data, AI, ML.
• Programming: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.
• MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
• Generative AI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.
• Data Engineering: Proficient in PySpark and distributed data processing.
• Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage.

Nice-to-haves

• Expertise in data architecture, modeling (dimensional, relational, etc.), and cloud/on-prem hybrid environments.
• Strong in Python, PySpark; proficiency in SQL.
• Experience with entity resolution, data governance tools.
• Exposure to GenAI, ML, or LLM integration is a plus.
• Familiarity with financial products, GL data, or finance operations preferred.

Benefits

• 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