Senior Machine Learning Operations Engineer

GameChanger is seeking a skilled and driven MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. The ideal candidate will have a strong background in building machine learning infrastructure, deploying computer vision models, and managing the model lifecycle.

Key Responsibilities:

• Design and implement MLOps pipelines to automate model deployment to iOS, Android, and cloud infrastructure.
• Manage the end-to-end lifecycle of computer vision models, including testing, integration, release, and continuous monitoring.
• Optimize cloud infrastructure for cost, performance, and efficiency.
• Collaborate with machine learning engineers and data scientists to ensure optimal model performance, scalability, and reliability.
• Stay up to date with the latest industry trends in MLOps and machine learning deployment technologies.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience building robust maintainable machine learning infrastructure.
• Strong programming skills in Python and experience with popular computer vision and machine learning libraries like PyTorch and TensorFlow.
• Experience with containerization and orchestration technologies (e.g., Docker, ECS, Kubernetes).
• Familiarity with cloud services, Terraform and AWS experience preferred.
• Proven ability to optimize and deploy models to iOS and Android.

GameChanger offers a comprehensive benefits package, including unlimited vacation, full health benefits, retirement savings with company match, and various stipends for work-from-home setup and snacks. The company values diversity and is an equal opportunity employer.

Join GameChanger and be part of a team that believes in the life-changing impact of youth sports, working on innovative solutions to elevate the next generation through technology.