Principal Machine Learning Operations Engineer

📋 Description

• Design, implement, and maintain scalable, robust ML pipelines and data pipelines for CI/CD, and ML
• Architect and govern the enterprise feature store and vector store infrastructure to support
• Build and manage enterprise-grade workflow orchestration layers to schedule, monitor, and manage
• Be a subject matter expert for Generative AI infrastructure, building scalable frameworks to
• Establish highly efficient environments for model training and parameter-efficient fine-tuning of
• Optimize high-throughput, low-latency model inference pipelines, utilizing advanced caching and

🎯 Requirements

• Bachelor's or Master’s degree in Computer Science, Computer Engineering, Data Science, or a closely
• 12+ years of professional experience in data engineering, ML engineering with a minimum of 5 years
• Deep, hands-on production experience architecting with in Databricks and native AWS environments.
• Expert proficiency in Python, with strong production experience deploying models built in

🎁 Benefits

• The salary range for this position is $158,000 – $294,000 per year, which represents the base pay
• Actual pay within this range will be determined based on factors such as relevant experience
• Depending on the position, employees may also be eligible to participate in a company bonus or
• All employees are eligible for a comprehensive benefits package, including medical, dental, and