Combine Software Engineering and Data Science to produce production ML models
Integrate ML services with other engineering systems
Develop frameworks to build, deploy, serve and monitor ML services
Collaborate with software, data engineers and data scientists along the ML pipeline

🎯 Requirements

Strong software engineering and Python skills
Solid background in machine learning
Productionizing ML models and services
Cloud-based infrastructure experience
MLOps tools: MLflow, Kubeflow, AWS SageMaker, Google AI Platform
RESTful APIs development experience

🎁 Benefits

Competitive salary
Profit sharing
Meal allowance
Health insurance
Dental plan
Life insurance

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