Role & Responsibilities:

End-to-End Project Delivery: Own the technical delivery of a project from an ML standpoint. Lead the implementation, deployment, and operationalization of ML, Deep Learning, NLP, and Generative AI solutions.
Hands-on Development: Spend 50% to 75% of your time coding. Build robust pipelines, develop advanced agentic workflows, and implement core machine learning components in Python and PyTorch/TensorFlow.
Component-Level Design: Design modular, secure, and scalable AI system components. Create visual system representations (UML, block diagrams, flowcharts) and defend your design choices through rigorous technical reasoning.
Generative AI & Agentic Workflows: Architect and develop advanced Retrieval-Augmented Generation (RAG) pipelines, implement Agentic AI workflows using multi-agent frameworks, and integrate Model Context Protocol (MCP) servers and clients.
MLOps/LLMOps Engineering: Design and maintain production-ready MLOps pipelines (CI/CD, automated testing, model registry, monitoring, retraining frameworks, drift detection) on AWS or GCP.




Technical Mentorship: Code-review and guide senior ML engineers and junior resources, enforcing clean coding standards, modular design patterns, and industry best practices.
Client Engagement: Lead technical discussions with clients regarding project updates, blockers, and architectural decisions. Translate complex technical concepts into clear business impact.

Skills expectation:
Must have:
Experience: 6 to 8 years of qualified experience in Machine Learning, Deep Learning, and Software Engineering, with a proven track record of delivering end-to-end ML projects.
Robust Software Engineering:
Exceptional mastery of Python (clean, class-based, modular coding) and SQL for processing complex, large-scale datasets.
Deep understanding of modern software design patterns, Git-based version control, and CI/CD automation.
Advanced ML, DL & NLP:
Extensive hands-on experience in statistical ML (regression, c

📌 Associate Technical Architect (Mumbai)
🏢 Quantiphi
📍 Mumbai