Description

You will own the full lifecycle of machine learning solutions, from prototype to production deployment on Kubernetes or AWS.

This role is on-site.

Responsibilities

• Architect and maintain scalable systems that ensure high data quality in production.
• Apply statistical analysis and ML to validate assumptions and extract actionable insights from raw data.
• Provide hands-on leadership to developers, enforcing best practices in system design and code quality.
• Translate complex ML concepts to clients and drive product strategy.

Required Skills

• 5+ years of engineering experience, including 3+ years with Machine Learning algorithms in industry.
• Proficiency in Python for developing and deploying scalable systems.
• Experience with AWS, Kubernetes, and Docker.
• Strong background in statistical analysis and data science.
• Experience managing PostgreSQL and structured/unstructured datasets.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent.

Preferred Skills

• Experience with GIS data using PostGIS, QGIS, ArcGIS, or geopandas.
• Familiarity with cloud cost optimization and AWS management.
• Production experience with Redis.

Key Skills

Education

Any Graduate