Machine Learning Operations Engineer

📋 Description

• Deploy ML models to production and APIs
• Build data pipelines for predictive intelligence
• Maintain the cloud-hosted ML platform
• Create training jobs and inference APIs (Python)
• Use AWS SageMaker, GitHub Actions, Docker
• Collaborate with data scientists and engineers

🎯 Requirements

• Master’s degree in CS, data science, or related field
• 2+ years in ML engineering or related role
• 2+ years Python coding experience
• 2+ years ML lifecycle: training, deployment, monitoring
• 2+ years with Python ML ecosystem (scikit-learn, PyTorch, etc.)
• 2+ years deploying ML models in AWS and Snowflake

🎁 Benefits

• Equity for all employees
• Flexible hybrid work model
• Generous time off policies
• Daily free lunch and wellness perks
• Car discount and commuting cost coverage
• Career development and ERGs