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AI/ML On-site

Staff Engineer - Machine Learning

Job Overview

As a Staff Machine Learning Engineer, you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale, product-ready implementation.

Key points

  1. You will move beyond standard feature delivery to define the technical vision and infrastructure that brings sophisticated algorithms to life.

Your work will directly result in

  1. Architecting and deploying robust ML APIs and pipelines capable of serving millions of requests with ultra-low latency and unwavering reliability.

  2. Setting the gold standard for ML Engineering practices, MLOps, and system design across the organization.

  3. Transforming theoretical models into high-performance, production-grade systems, directly shrinking the time-to-market for complex ML business solutions.

Requirements

  1. A proven, demonstrable track record of successfully architecting, building, and productionizing complex Machine Learning solutions at an enterprise scale.

  2. Deep, practical experience with modern MLOps practices, ensuring seamless, automated, and secure model transitions from development and training into production environments.

  3. A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.

  4. Expert-level Object-Oriented Programming (OOP) expertise in Python and Java.

Skills

Machine LearningMLOpsDeep LearningPythonJavaAWSTensorFlowPyTorch

Experience: Senior-level · 9+ years · Job type: Full-time

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