OptiTrack

Machine Learning Engineer

• Design and maintain automated ML training pipelines.
• Build infrastructure for large-scale distributed experimentation.
• Develop CI/CD workflows tailored for machine learning systems.
• Orchestrate data ingestion, preprocessing, validation, and model versioning.
• Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
• Optimize GPU/compute utilization across cloud and on-prem environments.
• Deploy, monitor, and maintain production ML models
• Establish and enforce MLOps best practices including model registry, artifact management, and observability.
• Improve system reliability, performance, and security.
• Collaborate closely with ML researchers make new algorithms product ready.
• More typical DevOps responsibilities for software development as required.

Machine Learning Engineer, Operations