Senior Machine Learning Operations Engineer

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

📋 Description

• Develop a reliable, efficient, and scalable infrastructure to support our AI/ML capabilities.

• Design robust data pipelines to facilitate analyses and model training.

• Support forecasting, network orchestration, and real-time pricing systems.

• Maintain data quality and integrity by implementing best practices in data integration.

• Establish comprehensive feature stores, model orchestration tools, experimentation frameworks, and model performance monitoring systems.

• Create standards and templates for model development and deployment that can be utilized across all Data Science teams.

⛳️ Requirements

• Bachelor’s Degree with a minimum of 3 years of experience in machine learning engineering, or a Master’s Degree with at least 2 years in the same field.

• Experience in developing and optimizing MLOps pipelines for speed, reliability, and observability.

• Proficient in applying statistical modeling or machine learning techniques to address business challenges.

• Strong command of Python and SQL.

• Practical experience with open-source languages and tools for large-scale ML (e.g., Ray, Flink, Feast).

• Familiarity with Data Warehouses (e.g., Redshift, Databricks, Snowflake).

• Proficient in using cloud-based data engineering and data science tools, preferably AWS.

• Experience in building ML systems within startup environments is a plus.

• Background in data science/machine learning within Logistics/Supply Chain is advantageous.

🏝️ Benefits

• Comprehensive medical, dental, and vision coverage.

• 401k retirement plan.

• Generous paid time off for full-time positions.

• Equity offerings available.