Senior MLOps Engineer

📋 Description

• Lead the development and evolution of MLOps platforms, workflows, and infrastructure supporting
• Design and standardize processes for model development, training, deployment, monitoring, and
• Partner with data scientists and engineers to improve ML workflows from experimentation through
• Establish and maintain model governance practices, including reproducibility, lineage tracking
• Support ML tooling such as experiment tracking, model packaging, deployment workflows, and model
• Collaborate with multiple teams to onboard new ML use cases and improve shared ML capabilities.

🎯 Requirements

• 5+ years of experience in MLOps, machine learning engineering, platform engineering, data
• Strong hands-on experience managing production workloads in AWS and understanding of cloud
• Solid knowledge of the machine learning lifecycle, including model training, deployment
• Experience supporting production-grade ML workflows focused on reliability, scalability, and
• Familiarity with ML tooling such as MLflow, experiment tracking systems, model management
• Experience with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data

🎁 Benefits

• Competitive salary and equity packages.
• Salary ranges based on location:
• Region 1: $172,550 – $203,000
• Region 2: $158,950 – $187,000
• Region 3: $147,900 – $174,000
• Comprehensive health, dental, and vision insurance.