Senior MLOps Engineer

Overview

Role involves leading deployment and optimization of ML models and infrastructure.

Ideal candidate has 5+ years in MLOps with expertise in large-scale ML models and Python.

Locations

• United States

Requirements

• Master's or Ph.D. in Computer Science or related field
• 5+ years in MLOps or ML Engineering
• Proven track record in deploying large-scale ML models
• Deep expertise in Python
• Extensive experience with ML frameworks like TensorFlow or PyTorch

Responsibilities

• Lead deployment and management of ML models
• Collaborate with teams to architect scalable solutions
• Establish monitoring systems for model performance
• Mentor junior ML engineers
• Ensure compliance with security standards

Benefits

• Health insurance
• 401k
• Bonus