Machine Learning Engineer

We are partnered with a leading technology services firm renowned for connecting top-tier talent with innovative companies across various industries. They specialize in driving technological advancements and delivering cutting-edge solutions, consistently exceeding client expectations.

The Role

• Deploy machine learning models to Google Cloud Platform and integrate them into production applications and Java-based streaming pipelines
• Own deployment automation from end-to-end
• Monitor model behavior in production for real end-users
• Design and execute benchmarking, performance testing, and quality testing on ML models
• Debug issues across the full stack
• Partner with ML researchers to provide benchmarking feedback and guide inference decisions

What You'll Need

• Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
• Strong foundation in ML inference, deployment, and quality testing
• Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks
• End-to-end problem-solving mindset
• Core ML knowledge sufficient to benchmark models and collaborate with researchers
• Experience deploying models in cloud environments, ideally Google Cloud Platform

What's On Offer

• Opportunity to work on a primary platform with Google Cloud Platform
• Long-term engagement with a dynamic team
• Exposure to evolving tech stacks across hybrid infrastructure

Apply via Haystack today!