Role: ML Architect
Experience: 10 to 15yrs
Notice Period: 60-90 Days
Work Location: TCS-Bangalore
Mode of Interview: Virtual

Responsibilities :-
• Experience in Machine Learning, AI, Data Science, and solution architecture.
• Strong expertise in designing scalable ML/AI architectures for enterprise applications.
• Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, and ML frameworks.
• Experience building and deploying ML models using AWS, Azure, or GCP cloud platforms.
• Solid knowledge of MLOps, model deployment, monitoring, CI/CD, Docker, and Kubernetes.
• Expertise in data pipelines, feature engineering, model training, optimization, and model lifecycle management.
• Experience with Generative AI, LLMs, RAG, vector databases, and AI/ML APIs is highly desirable.
• Ability to define ML architecture standards, design patterns, security, scalability, and governance.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to deliver production-grade AI solutions.
• Provide technical leadership, architecture reviews, mentoring, and guidance for end-to-end ML/AI initiatives.

• Note : Ex TCSer can't apply

📌 ML Architect (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru