IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore
Core
Design and manage end-to-end ML pipelines, LLM serving architectures, and fine-tuning workflows to optimize generative AI models for client business problems.
Role type
Senior IC Gen AI Data and Analytics Engineer (LLM Ops & MLOps)
Builds
Scalable ML pipelines, model inference APIs, and optimized LLM serving infrastructure for enterprise clients.
Domain
Generative AI, Large Language Models (LLM), Cloud Infrastructure, Data Analytics
Deliverable
production ML models
Required skills
Generative AI, LLM fine-tuning, MLOps, Python, PyTorch/TensorFlow/Keras, LangChain, LangGraph, Docker, Kubernetes, Hugging Face, DeepSpeed, vLLM, GPU architecture, distributed training
Preferred skills
SQL, Machine Learning, Data Science, Cloud certifications (AWS/Azure/GCP)
Technologies
MLflow, SageMaker, Vertex AI, Azure AI, Hugging Face, GPT, Gemini, Claude, Mixtral, Llama, DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, Google BigQuery, Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, Flowise, Langflow, Langgraph, LlamaIndex, AWS Bedrock
Responsibilities
Design ML pipelines for experiment, model, and feature management; design APIs for model inferencing at scale; implement distributed training and serving for large language models; optimize model fine-tuning for latency and accuracy; execute DevOps and LLMOps practices for container orchestration and model lifecycle management.
Seniority
Senior, hands-on IC