Machine Learning Engineer

• Improve team efficiency through MLOps and DevOps best practices
• Develop, maintain, and ensure reliability of inference services
• Adapt retrieval models to automated deployment pipelines
• Collaborate to enable scaling of training and inference
• Monitor model performance and overall platform efficiency
• Evolve single-version codebases into iterative solutions
• Contribute to governance and security practices
• Identify opportunities for automation and process optimization
• Collaborate to ensure adherence to service-level agreements (SLAs)

ML Ops Developer

Full Stack Engineer – AI Lead