ML Operations Engineer

Job Summary

A company is looking for an ML Operations Bridge Engineer who thrives at the intersection of data science and software engineering.

Key Responsibilities

• Deploy trained models to production environments and build APIs for model predictions
• Develop real-time data pipelines and implement data validation and monitoring systems
• Create CI/CD pipelines for model deployment and optimize inference costs across cloud platforms

Required Qualifications

• Strong experience in Python (3+ years) and TypeScript/JavaScript (2+ years)
• Proven MLOps experience, including model deployment and performance monitoring
• Experience with data engineering, streaming data, and ETL/ELT processes
• Hands-on experience with cloud platforms such as GCP, AWS, or Azure
• Proficient in SQL and version control using Git/GitHub