Lead Data Scientist

Capgemini • New York, NY

1d • $160,000 - $220,000 • Onsite

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 Description Onsite Only , New York City only  We are seeking a highly skilled GCP AI Engineer to join our team in New York City. This role focuses on reviewing code, providing technical guidance, and driving innovation in Google Cloud Platform-based AI applications. The ideal candidate will have deep expertise in enterprise AI solutions, scaling large language models (LLMs), and implementing advanced AI techniques in production environments.

Requirements

• Proven experience with Google Cloud Platform and its AI/ML services.
• Strong background in enterprise AI applications and production-level scaling of LLMs.
• Hands-on experience with prompt engineering, RLHF, and RAG techniques.
• Familiarity with multi-modal AI models and generative AI technologies.
• Contributions to open-source AI projects or published research in AI.
• Expertise in A/B testing, personalization, and feedback-driven optimization.
• Proficiency in fine-tuning and deploying LLMs using modern AI frameworks.

Responsibilities

• Review and optimize code for AI applications deployed on Google Cloud Platform.
• Provide architectural and technical guidance for enterprise-scale AI solutions.
• Design and implement strategies for scaling LLMs in production environments.
• Apply prompt engineering, reinforcement learning from human feedback (RLHF), and retrieval-augmented generation (RAG) to enhance model performance.
• Work with multi-modal AI models (text, image, video, and audio synthesis).
• Collaborate on open-source AI projects or contribute to AI research publications.
• Implement A/B testing, user feedback loops, and AI-driven personalization strategies.
• Fine-tune and deploy LLMs and transformer-based architectures using frameworks such as Hugging Face, OpenAI, TensorFlow, and PyTorch.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed