ML & GenAI Lead

About the job

Role: ML & GenAI Lead Experience: 8–12+ years Role Overview The ML & GenAI Lead will be responsible for designing, leading, and delivering end-to-end Machine Learning and Generative AI solutions, with a strong focus on LLMs, Agentic AI frameworks, and production-grade ML systems. This role involves technical leadership, solution architecture, and close collaboration with business and engineering stakeholders. Key Responsibilities • Lead the design and implementation of ML and GenAI solutions aligned with business use cases. • Architect and deliver LLM-based systems, including RAG, prompt engineering, fine-tuning, and agentic workflows. • Define and drive Agentic AI architectures using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar. • Oversee model lifecycle management: data preparation, training, evaluation, deployment, and monitoring. • Guide teams on MLOps / LLMOps best practices including CI/CD, model versioning, observability, and cost optimization. • Collaborate with product, data, cloud, and platform teams to ensure scalable and secure AI solutions. • Mentor and technically guide ML and GenAI developers. • Ensure compliance with Responsible AI, security, and governance standards. • Engage with stakeholders to translate business problems into AI-driven solutions. Required Skills & Qualifications • Strong experience in Machine Learning, Deep Learning, and NLP. • Hands-on expertise with LLMs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.). • Proven experience building Agentic AI systems. • Strong Python skills and ML frameworks: PyTorch, TensorFlow, Scikit-learn. • Experience with RAG pipelines, vector databases (FAISS, Pinecone, Weaviate, Chroma). • Solid understanding of cloud platforms (Azure / AWS / GCP) and containerization (Docker, Kubernetes). • Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Azure ML, LangSmith, etc.). • Strong communication and leadership skills.

Requirements

• Machine Learning
• Generative AI
• Large Language Models
• Python
• MLOps

Preferred Technologies

• Machine Learning
• Generative AI
• Large Language Models
• Python
• MLOps