Job Description — Lead Software Engineer, MLOps

Location:Remote
 

Role Overview

We are looking for a Lead Software Engineer – MLOps to lead the development and implementation of scalable machine learning infrastructure and deployment solutions. The role will focus on automating ML workflows, improving model deployment and monitoring, and collaborating with Data Science, ML Engineering, and Software Engineering teams.

Key Responsibilities

• Lead the design, development, and implementation of MLOps platforms and pipelines.
• Build and manage automated workflows for model training, validation, deployment, and monitoring.
• Develop scalable and reliable infrastructure for machine learning applications.
• Implement CI/CD and automation practices for ML models and applications.
• Deploy and manage ML workloads across cloud and/or on-premise environments.
• Implement model versioning, experiment tracking, model registry, and reproducibility practices.
• Monitor model performance, system health, and production ML workloads.
• Work closely with Data Scientists and ML Engineers to streamline the model lifecycle.
• Provide technical leadership, mentorship, and code reviews for engineering teams.
• Troubleshoot production issues and improve system reliability and performance.
• Establish best practices around security, scalability, observability, and governance.
• Evaluate and adopt new MLOps tools and technologies.