🛠 Tech Stack

💼 About This Role

You'll design and manage scalable ML pipelines on Azure and Databricks, enabling high-availability model deployments. Your work ensures cost-efficient and robust API interfaces for cross-team collaboration.

🎯 What You'll Do

• Design and implement scalable ML pipelines using Azure ML and Databricks.
• Build automated CI/CD pipelines with GitHub Actions and SonarQube.
• Deploy models via Azure Kubernetes Service for high availability.
• Develop reusable templates and APIs for ML model deployment.

📋 Requirements

• 5+ years in ML engineering or related field.
• Azure ML and Databricks experience required.
• PySpark and Python proficiency for pipeline development.
• Experience with CI/CD tools like GitHub Actions.

✨ Nice to Have

• Experience with Kubeflow and BentoML.
• Statistical analysis skills (hypothesis testing, regression).
• Knowledge of model monitoring tools like Evidently AI.

🎁 Benefits & Perks

• 🏥 Health insurance
• 💰 Annual bonus
• 🏖️ Paid time off