
AI/ML Team Lead
- Gurgaon, Haryana
- Permanent
- Full-time
Chatbots and conversational agents
Intelligent document processing
Code generation and copilots
Content summarization, personalization, or generation
Customize and fine-tune foundation models (e.g., GPT, LLaMA, Claude, Mistral) for domain-specific use cases.
Drive evaluation and integration of GenAI frameworks and tooling (e.g., LangChain, Semantic Kernel, LlamaIndex, Transformers).
Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale.🔹 Technical Strategy & ExecutionDefine and execute the Generative AI roadmap aligned with business goals.
Collaborate with product, engineering, and business stakeholders to identify and prioritize GenAI use cases.
Lead POCs and pilots to validate ideas before full-scale implementation.
Ensure robust, secure, and ethical deployment of GenAI systems, including governance and monitoring.🔹 Team Leadership & MentorshipLead, mentor, and grow a team of AI/ML engineers and researchers.
Establish best practices in model development, experimentation, and deployment.
Foster a culture of continuous innovation and learning in GenAI.🔹 Platform & Infrastructure (Supporting Azure)Deploy and operationalize models using cloud platforms, ideally Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search).
Manage GenAI infrastructure (e.g., vector databases, inference endpoints, GPUs) for performance and cost-efficiency.
Utilize MLOps practices for model lifecycle management and reproducibility.Experience Required
- 8+ years of experience in AI/ML, with at least 2+ years in GenAI-specific roles.
- Proven experience with foundation models (e.g., GPT-4, Claude, LLaMA) and relevant toolsets.
- Proficiency in Python and AI/ML libraries (e.g., PyTorch, Transformers, Hugging Face).
- Strong understanding of prompt engineering, RAG, LLMOps, and LLM fine-tuning.
- Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Azure AI Search).
- Familiarity with enterprise AI integration (APIs, plugins, cloud deployment).
- Flexible work arrangements
- Savings & Retirement benefits
- Tuition reimbursement
- Parental leave
- Adoption assistance
- Fertility & Family building support
- Employee Assistance Programs
- Charitable contribution matching and Volunteer Time Off