Description

You will develop, maintain, and validate machine learning models and production pipelines.

This role is remote.

Responsibilities

• Develop and maintain ML models and data pipelines.
• Aggregate and visualize model results for internal and external stakeholders.
• Conduct data exploration and ad hoc analyses using SQL and Python.
• Design, monitor, and test production ML workflows on AWS with the MLOps team.
• Implement unit and integration tests to ensure production reliability.

Required Skills

• 7+ years of professional experience in data science or related roles.
• Strong proficiency in Python for data analysis and model development.
• Experience building, validating, and deploying machine learning models.
• Proficiency in SQL for complex data queries and analysis.
• Hands-on experience with AWS services for ML infrastructure.
• Working knowledge of big data technologies: Hadoop, Spark, and Hive.
• Ability to write and maintain unit and integration tests.

Preferred Skills

• Experience collaborating with MLOps teams in production environments.

Key Skills

Education

Any Graduate