Develops deploys and maintains scalable machine learning ML models including specialized focus on Large Language Models LLMs and other foundation models Designs and implements robust APIs and microservices for real-time model serving and inference particularly focusing on optimizing latency and throughput for large generative models Implements MLOps practices CI CD to automate the testing deployment and monitoring of ML systems including specific pipelines for fine-tuning and customizing LLMs Optimizes model performance latency and resource consumption through techniques like quantization pruning and low-rank adaptation LoRA for productive GenAI deplo yment Establishes comprehensive monitoring systems for tracking model health detecting data drift concept drift and monitoring prompt quality and token usage in production GenAI environments Designs and implements ethical AI guardrails content filters and safety mechanisms to mitigate risks e g bias toxicity and hallucination associated with deployed GenAI applications Manages the underlying infrastructure e g specialized compute clusters necessary to support the intensive training and serving requirements for large-scale GenAI workloads Contributes to the engineering wiki defining model versioning strategies prompt management standards and documenting deployment architectures and runbooks for GenAI systems Location Chennai Job Function IT INFRASTRUCTURE SERVICES Role Lead Job Id 383392 Desired Skills Machine Learning Desired Candidate Profile Qualifications BACHELOR OF ENGINEERING

📌 Machine Learning (Tamil Nadu)
🏢 Tata Consultancy Services (TCS)
📍 Tamil Nadu