Machine Learning & Operations Engineer

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

Requirements

• 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
• Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
• Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
• Hands-on experience with containerization (Docker) and orchestration
• Experience managing GPU workloads and distributed training systems
• Experience with cloud platforms (AWS, GCP, or Azure)
• Strong understanding of automation, infrastructure reliability, and data pipelines

Benefits

• 75% employer-paid medical for employee. Family coverage also included.
• 100% employer paid dental, and vision for employee and dependents
• 100% employer paid long-term, short-term disability, and life insurance policy
• 401k Match, if you’re contributing 5% we match 4%. 100% vested immediately.
• 10 paid holidays
• Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
• Employee Assistance Program (EAP)
• Flexible Spending Account (FSA)