GenAI & AI/ML Framework Specialist

Capgemini • New York, NY

4d • $85,786 - $105,237 • Hybrid

About The Position

We are seeking a highly skilled GenAI & AI/ML Framework Specialist to design, develop, and scale next-generation Artificial Intelligence solutions. This role will focus on building advanced machine learning and Generative AI applications, optimizing open-source AI frameworks, and integrating AI-powered capabilities into enterprise platforms. The ideal candidate will possess deep expertise in AI/ML frameworks, Large Language Models (LLMs), MLOps, cloud platforms, and modern data infrastructure. You will work closely with product, engineering, and data science teams to deliver high-performance, production-ready AI solutions that drive business value.

Requirements

• Expertise in PyTorch, TensorFlow, or JAX.
• Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
• Strong Python programming skills.
• Solid understanding of machine learning, deep learning, Transformers, CNNs, and RLHF.
• Experience with vector databases (Pinecone, ChromaDB, Milvus) and SQL/NoSQL databases.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or Triton Inference Server.
• Experience with cloud platforms such as AWS SageMaker, Azure AI, or GCP Vertex AI, and GPU acceleration (CUDA).

Nice To Haves

• Experience with enterprise-scale AI transformation initiatives.
• Knowledge of model governance, responsible AI, and AI security frameworks.
• Experience working with multi-modal AI applications involving text, image, audio, or video models.
• Exposure to distributed training, model compression, quantization, and inference optimization techniques.
• Familiarity with agentic AI architectures and autonomous workflow orchestration.

Responsibilities

• Design and implement Generative AI solutions using LLMs, RAG, prompt engineering, and fine-tuning techniques.
• Develop, train, and optimize machine learning and deep learning models.
• Build scalable AI/ML pipelines for data processing, model training, and deployment.
• Integrate AI models into enterprise applications and production environments.
• Improve model inference performance, scalability, and cost efficiency.
• Collaborate with cross-functional teams to deliver AI-driven business solutions.

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: Senior