Machine Learning & Operations Engineer

Role Overview

You’ll join a remote team as a Machine Learning & Operations Engineer, designing, automating, and scaling MLOps systems for reliable deployment and management of machine learning models. You’ll work at the intersection of ML engineering and infrastructure to automate data validation, orchestrate large-scale experiments, and deploy high-performance algorithms.

Responsibilities

• Design and maintain automated ML training pipelines to streamline model development
• Build and optimize infrastructure for large-scale distributed experimentation
• Create ML-focused CI/CD workflows for continuous deployment
• Orchestrate data ingestion, preprocessing, validation, and model versioning
• Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems
• Optimize GPU/compute resource utilization across cloud and on-premises
• Deploy, monitor, and maintain production ML models with high availability and performance
• Establish and enforce MLOps best practices (model registry, artifact management, observability)
• Improve reliability, security, and performance through continuous iteration
• Collaborate with ML researchers to productionize new algorithms
• Support DevOps-related software development tasks as needed

Requirements

• 3+ years in MLOps, ML infrastructure, or related roles (or equivalent degree experience)
• Python proficiency
• Experience with ML frameworks: PyTorch and/or TensorFlow
• Hands-on CI/CD experience using tools such as GitHub Actions, GitLab CI, Jenkins
• Docker and container orchestration experience
• Experience managing GPU workloads and distributed training systems
• Familiarity with cloud platforms: AWS, GCP, or Azure
• Strong understanding of automation, infrastructure reliability, and data pipelines
• Ability to collaborate effectively with international teams across regions (e.g., US and Europe)

Nice to Have

• Not explicitly stated, but exposure to production ML observability, model registries, and artifact management is implied by responsibilities.