IN_Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
Core
Lead AI/ML initiatives to develop and deploy Large Language Models (LLMs), RAG systems, and agentic AI solutions for clients to drive business insights and competitive advantage.
Role type
Senior IC Machine Learning Engineer (LLM/GenAI)
Builds
Production LLM applications, chatbots, recommendation systems, and vector search solutions
Domain
Artificial Intelligence, Machine Learning, Generative AI, Data Analytics
Deliverable
production ML models
Required skills
Python, LLM frameworks (Hugging Face, LangChain), Prompt Engineering, Spark, Git, MLflow, Microservices, Terraform, Kubernetes, vLLM, FastAPI, MLOps, AWS/GCP/Azure, RAG, Vector Databases, Quantization, Knowledge Distillation
Preferred skills
Agentic AI, Fine-tuning, Dimensionality Reduction, A/B Testing, Statistical Hypothesis Testing
Technologies
Python, Hugging Face Transformers, LangChain, Spark, Git, MLflow, Terraform, CloudFormation, GitHub Actions, Jenkins, Kubernetes, Helm, vLLM, FastAPI, TorchServe, TensorFlow, PyTorch, AWS, GCP, Azure
Responsibilities
Design and implement LLM-based solutions including chatbots and recommendation systems; Optimize models using quantization and knowledge distillation; Manage MLOps pipelines for automated retraining and monitoring; Develop microservices architectures for scalable AI deployment; Conduct feature engineering and embedding optimization; Lead technical strategy for GenAI projects
Seniority
Senior, hands-on IC