Senior ML, MLOps Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, enhance, and manage Databricks notebooks and jobs that facilitate data transformation, analytics, and machine learning tasks.

• Design, integrate, and deploy custom machine learning models utilizing tools like Azure Machine Learning and MLflow.

• Execute data and AI use cases on the Databricks platform, ensuring smooth integration and operational dependability.

• Set up and oversee external AI models within Databricks Model Serving, including the secure administration of API keys.

• Develop scalable asynchronous agents using native Python async techniques to accommodate high-concurrency workloads.

• Implement CI/CD and DevOps best practices through Azure DevOps to streamline the deployment and management of data pipelines and ML infrastructure.

• Analyze and interpret data, metadata, and database structures utilizing SQL editors and built-in visualizations.

• Work collaboratively with data scientists, analysts, and engineers to convert requirements into production-ready ML solutions.

• Produce clean, modular, well-documented, and testable Python code adhering to established engineering standards.

⛳️ Requirements

• 5 years of experience in designing, developing, and deploying machine learning solutions on the Databricks platform.

• Expertise in Python, including the ability to write modular, testable code and utilizing async programming patterns.

• Familiarity with machine learning concepts, tools, and libraries such as TensorFlow, PyTorch, Scikit-learn, and MLflow.

• Experience in configuring and integrating external AI models, along with knowledge of AI governance and monitoring capabilities.

• Understanding of CI/CD and DevOps practices that support data and ML workloads.

• Capability to analyze data and metadata with SQL and visualization tools.

• Strong problem-solving, collaboration, and communication abilities.

🏝️ Benefits

• Health insurance

• Professional development opportunities

• Remote work options