Role: ML Architect

Experience: 10 to 15yrs

Notice Period: 60-90 Days

Work Location: TCS-Bangalore

Mode of Interview: Virtual

Responsibilities :-

1. Experience in Machine Learning, AI, Data Science, and solution architecture.
2. Strong expertise in designing scalable ML/AI architectures for enterprise applications.
3. Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, and ML frameworks.
4. Experience building and deploying ML models using AWS, Azure, or GCP cloud platforms.
5. Robust knowledge of MLOps, model deployment, monitoring, CI/CD, Docker, and Kubernetes.
6. Expertise in data pipelines, feature engineering, model training, optimization, and model lifecycle management.
7. Experience with Generative AI, LLMs, RAG, vector databases, and AI/ML APIs is highly desirable.
8. Ability to define ML architecture standards, design patterns, security, scalability, and governance.
9. Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to deliver production-grade AI solutions.
10. 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