Role & responsibilities

- Design and architect scalable AI/ML, Generative AI, and MLOps solutions aligned with business objectives.

- Lead the development, deployment, and lifecycle management of machine learning models and AI platforms.

- Establish AI governance, model security, responsible AI practices, and compliance standards.

- Collaborate with business stakeholders, data scientists, and engineering teams to translate use cases into production-ready solutions.

- Drive adoption of cloud-based AI services, automation frameworks, and emerging AI technologies.

- Provide technical leadership, architecture reviews, and mentorship to AI/ML development teams.

Preferred candidate profile

- Machine Learning, Deep Learning, NLP, Computer Vision, Predictive Analytics

- Generative AI, LLMs, RAG, Prompt Engineering, AI Agents

- Python, TensorFlow, PyTorch, Scikit-learn

- Azure AI, AWS AI/ML Services, Google Vertex AI

- MLOps, Model Monitoring, CI/CD for ML

- Data Engineering, Feature Stores, Vector Databases

- Kubernetes, Docker, API Design & Integration

📌 AI/ML Architect (New Delhi)
🏢 EY
📍 New Delhi