IN_Senior Associate_AI Architect_Data and Analytics_Advisory_Bangalore
Core
Design and manage end-to-end ML pipelines, LLM serving architectures, and DevOps/LLMOps practices to enable scalable AI solutions for clients.
Role type
Senior AI Architect (Generative AI & ML Infrastructure)
Builds
Scalable ML pipelines, LLM inference APIs, and optimized model training/serving environments
Domain
Artificial Intelligence, Generative AI, Cloud Infrastructure, Data Engineering
Deliverable
production ML models
Required skills
ML pipeline design, LLM serving, GPU architecture, distributed training, model fine-tuning, DevOps, LLMOps, Kubernetes, Docker, Python, SQL, Cloud platforms (AWS/Azure/GCP)
Preferred skills
Generative AI, Cloud certifications (AWS/Azure)
Technologies
MLflow, SageMaker, Vertex AI, Azure AI, DeepSpeed, vLLM, Flowise, Langflow, Langgraph, Hugging Face, Langchain, LlamaIndex, DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery, Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
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 LLM frameworks.
Seniority
Senior, hands-on IC