While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you

- you would enjoy your career with Quantiphi!

Senior Machine Learning Engineer Experience Level: 3-6 years Job Summary As a Senior Machine Learning Engineer at Quantiphi, you will build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. You'll engineer intelligent systems spanning generative AI, agentic workflows, traditional machine learning, and computer vision. This is a hands-on role for builders who thrive on shipping production systems that solve real business problems at enterprise scale. - Responsibilities Generative AI & Agentic Systems

Build agentic systems combining memory, planning, and dynamic reasoning for multi-step problem-solving across enterprise datasets Develop multi-agent architectures using modern orchestration frameworks with reliable communication and observability - MLOps & Production Engineering- Own the complete ML lifecycle: CI/CD pipelines, automated testing, model versioning, validation gates,



and progressive deployment Build production APIs and microservices with authentication, error handling, and monitoring; design data pipelines and integrations Monitor production ML systems, track model drift, maintain system reliability and implement A/B testing frameworks Knowledge Solutions Architect knowledge graph and semantic search solutions enabling entity resolution, relationship discovery, and intelligent retrieval Design hybrid retrieval combining vector embeddings with keyword search - Client Collaboration Present technical solutions to clients, translating engineering decisions into business outcomes Collaborate with architects, data engineers, and business analysts on integrated solutions - Required Qualifications- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent demonstrated experience) 3-6 years of hands-on ML engineering with demonstrated expertise across multiple domains (GenAI) Expert-level Python proficiency with solid software engineering fundamentals: API design, testing, containerization Proven track record shipping production ML systems in cloud environments with GCP (Vertex AI, BigQuery, Cloud Run) or equivalent

- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

📌 Senior Machine Learning Engineer (Mumbai)
🏢 Quantiphi
📍 Mumbai