Senior Machine Learning Engineer
Core
Architect, build, and operationalize end-to-end ML systems for personalization and marketing optimization, transforming data into decision engines for millions of customers.
Role type
Senior Machine Learning Engineer (Production & Infrastructure)
Builds
Personalization and marketing automation systems, Agentic AI solutions, and scalable ML infrastructure.
Domain
Healthcare retail, AI-driven personalization, marketing optimization
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Kubeflow, Vertex, SQL, Reinforcement Learning, Causal Inference, Agentic Architecture, System Design, Mentorship
Preferred skills
Full-stack frameworks (Node.js, React), Distributed modeling
Technologies
Snowflake, BigQuery, Kubeflow, Vertex, PyTorch, TensorFlow
Responsibilities
Architect and deploy end-to-end ML pipelines for customer targeting and recommendation; Implement MLOps including CI/CD, model versioning, and monitoring; Lead design of Agentic AI solutions for workflow automation; Mentor engineers and influence the ML roadmap.
Seniority
Senior, hands-on IC with leadership responsibilities