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