IN_Senior Associate_Pega Developer _GCC_Advisory_Bangalore
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Job Description
Structured overview of role & requirementsAbout This Role
Design and manage end-to-end machine learning pipelines including experiment, model, feature management, and scalable model inferencing APIs.
Implement and optimize large language model (LLM) training and serving using GPU architectures and frameworks like DeepSpeed and vLLM.
Apply DevOps and LLMOps practices with Kubernetes, Docker, and LLM orchestration tools such as Flowise, Langflow, and Langgraph.
Minimum Requirements
3+ years of relevant work experience.
Mandatory technical skills: Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
Education: Bachelor’s degree in Engineering/Technology or Master of Business Administration (MBA).
Work Visa Sponsorship: Not available; Government clearance: Not required.
Ideal Candidate Profile
Experienced in cloud platforms AWS/Azure/GCP and databases such as DynamoDB, Cosmos, MongoDB, MySQL, Google BigQuery.
Skilled in model fine-tuning and optimization to improve latency and accuracy while reducing resource consumption.
Familiar with MLflow, SageMaker, Vertex AI, Azure AI, and advanced DevOps monitoring tools (Prometheus, Grafana).