IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Noida
Core
Design and optimize large language model (LLM) pipelines, fine-tuning, and serving infrastructure to support clients' strategic goals using advanced analytics and Gen AI.
Role type
Senior Associate AI Engineer (LLM & Gen AI)
Builds
Scalable ML pipelines, model inference APIs, and optimized LLM serving architectures for enterprise clients.
Domain
Data, Analytics & AI (Gen AI, LLMs, Cloud Infrastructure)
Deliverable
production ML models
Required skills
LLM fine-tuning and optimization, distributed training (DeepSpeed, vLLM), ML pipeline design, DevOps/LLMOps (Kubernetes, Docker), Python, SQL, cloud platforms (AWS/Azure/GCP), orchestration frameworks (Langchain, Langgraph, Flowise)
Preferred skills
GPU architecture expertise, model parallel training, advanced cloud certifications (AWS/Azure)
Technologies
Hugging Face, PyTorch/TensorFlow/Keras, MLflow, SageMaker, Vertex AI, Azure AI, DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery, Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, Langchain, Langraph, LangFlow, Flowise, 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; manage DevOps and LLMOps practices.
Seniority
Senior, hands-on IC
