Operations Machine Learning Engineer

📋 Description

• Partner with Operations Data Science teams to transform machine learning models, analytical
• Design, develop, and maintain automated data and model pipelines using Python, AWS, Databricks
• Establish reusable deployment patterns, templates, CI/CD pipelines, documentation, and engineering
• Collaborate with Product and Technology, Data Engineering, Cloud Engineering, DevOps, Delivery
• Develop monitoring frameworks to track model performance, data quality, model drift, system
• Support model governance through documentation, auditability, explainability inputs, validation

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Machine Learning Engineering, Engineering
• At least three years of relevant experience in machine learning engineering, MLOps, cloud platform
• Demonstrated experience building and maintaining production-grade data pipelines, machine learning
• Strong knowledge of cloud-based data technologies, preferably AWS and Databricks, Spark, or
• Experience with continuous integration and continuous delivery, deployment automation, version
• Understanding of data pipelines, orchestration, data quality management, feature engineering, and

🎁 Benefits

• Annual base salary of $140,000–$163,000, depending on job-related knowledge, technical skills
• Eligibility for quarterly bonuses and restricted stock unit grants based on individual performance.
• Full-time position.
• Fully remote opportunity within the United States, with no regular in-office requirement under the
• Medical, dental, and vision insurance.
• Life insurance and disability coverage.