Dice is looking for a Data & Machine Learning Engineer to work with their client Yahoo. The role involves deploying models to Google Cloud Platform, integrating them into production applications, and monitoring their performance.
Responsibilities:
- Evaluate and benchmark new ML inference frameworks
- Deploy models to Google Cloud Platform and integrate them into production applications and Java-based streaming pipelines
- Own deployment automation end-to-end
- Monitor model behavior in production for real end-users
- Design and execute benchmarking, performance testing, and quality testing on ML models
- Perform model sampling to support quality evaluation and researcher feedback loops
- Debug issues across the full stack
- Partner with ML researchers to provide benchmarking feedback and guide inference decisions
- Adapt rapidly to non-standard and evolving tech stacks across hybrid infrastructure
Requirements:
- 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
- Exposure to Java or JVM-based systems
- Familiarity with streaming data architectures
- Experience in hybrid cloud/on-prem environments