Senior Machine Learning Engineer

About this role

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Skills you'll use

What you'll do

• Generative AI & Agentic Systems - - - -
• Design and implement generative AI applications including RAG systems, agentic workflows, and multi-agent orchestration for complex business problems.
• 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
• Implement prompt engineering, context optimization, and evaluation frameworks for GenAI applications
• 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

Who can apply

• 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.

About Quantiphi

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