Design, develop, and maintain cloud ML infrastructure for deployment and scaling.
Implement CI/CD pipelines for ML models.
Collaborate with Data Scientists and AI teams to productionize models.
Develop APIs and microservices for real-time inference.
Leverage AWS SageMaker, Lambda, and ECS to optimize ML workloads.
Troubleshoot production ML deployment issues and improve ML ops.

🎯 Requirements

Bachelor's degree in CS, Software Eng, or related field, or equivalent experience.
2+ years building ML infrastructure in cloud environments.
Familiarity with cloud computing concepts and design patterns.
Experience coding in Python or Java.
Understanding ML lifecycle: training, evaluation, monitoring in production.
Excellent collaboration with Data Scientists, AI teams, and cross-functional partners.

🎁 Benefits

On-site role in Boston, MA.
Comprehensive benefits package.
Equity opportunities and a strong benefits program.
Growth opportunities in ML and cloud infrastructure.

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