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Machine Learning & Operations Engineer

2 weeks, 6 days ago
United States
Full-time
Mid Level
Machine Learning Engineer
DevOps and Infrastructure
Apache Airflow AWS Azure CI/CD CloudFormation Computer Vision Docker GCP GitHub Actions GitLab CI Jenkins Kubeflow Kubernetes Machine Learning MLflow MLOps Prefect Pulumi Python PyTorch TensorFlow Terraform
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OptiTrack

OptiTrack

OptiTrack is a leading provider of precision motion capture and 3D tracking systems for industries such as video game design, animation, virtual reality, robotics, and movement sciences. Their products offer accurate, low latency, and easy-to-use solut...

Health Care Providers & Services
51-250
Founded 1996
View All Jobs 2

Description

  • Design and maintain automated machine learning 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 and compute utilization across cloud and on-premises environments.
  • Deploy, monitor, and maintain production machine learning models.
  • Establish and enforce MLOps best practices for model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate with machine learning researchers to make new algorithms production-ready.
  • Support related DevOps responsibilities for software development as needed.

Requirements

  • 3+ years of experience in MLOps, ML infrastructure, machine learning, or related roles, or relevant degree experience.
  • Experience with Python and machine learning frameworks such as PyTorch or TensorFlow.
  • Experience building CI/CD pipelines with tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Hands-on experience with containerization using Docker and orchestration tools.
  • Experience managing GPU workloads and distributed training systems.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong understanding of automation, infrastructure reliability, and data pipelines.
  • Ability to work with both European and US developers.
  • Experience with motion capture or computer vision systems is preferred.
  • Familiarity with experiment tracking tools such as MLflow or Weights & Biases is preferred.
  • Background in distributed systems or high-performance computing is preferred.
  • Experience with workflow orchestration tools such as Airflow, Argo, Prefect, or Kubeflow is preferred.
  • Infrastructure as Code experience with Terraform, Pulumi, or CloudFormation is preferred.
  • Experience with model optimization, inference acceleration, or edge deployment is preferred.
  • Experience building tracking algorithms for device localization using techniques such as SLAM is preferred.
  • Strong problem-solving skills and attention to reproducibility.
  • Comfortable working in a remote, collaborative environment with international team members.
  • Clear communicator who can bridge research and production engineering.
  • Passion for building scalable AI infrastructure.

Benefits

  • All benefits start on the first day of employment.
  • 75% employer-paid medical coverage for the employee, with family coverage included.
  • 100% employer-paid dental and vision coverage for the employee and dependents.
  • 100% employer-paid long-term disability, short-term disability, and life insurance.
  • 401(k) match: if you contribute 5%, OptiTrack matches 4%, with immediate vesting.
  • 10 paid holidays.
  • Starting at 15 days of paid PTO annually, inclusive of sick and vacation time.
  • Employee Assistance Program (EAP).

Interested in this position?

Apply directly on the company website

Apply Now

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