EX Squared is hiring a Senior MLOps Engineer - US (Remote)

Jobgether is hiring a Senior MLOps Engineer to lead the design, development, and scaling of robust machine learning infrastructure that powers high-impact AI systems. You will bridge the gap between research and production, ensuring models are deployed efficiently, reliably, and at scale.

What You'll Do

• Design, build, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.
• Develop and optimize infrastructure for distributed training and model serving across GPU and cloud environments.
• Implement CI/CD workflows for ML systems, including automated testing, deployment, and retraining.
• Monitor and manage model performance, drift, and data quality in production.
• Collaborate with AI researchers and engineers to productionize prototypes, ensuring reproducibility and scalability.
• Drive cost optimization and performance tuning for large-scale model training and inference.
• Contribute to internal documentation and establish best practices for MLOps processes.

What We're Looking For

• 6–10+ years of experience in software or ML engineering, with at least 3+ years focused on MLOps or ML infrastructure.
• Strong programming skills in Python, C/C++, and Bash.
• Proven experience deploying and managing ML models in production environments.
• Expertise with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) for scalable ML systems.
• Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Familiarity with ML experiment tracking tools (MLflow, Weights & Biases, Kubeflow).
• Understanding of model versioning, reproducibility, and monitoring strategies.
• Excellent problem-solving, communication, and collaboration skills.

Nice to Have

• Experience training models from scratch and model optimization (quantization, distillation).
• Experience with infrastructure-as-code (Terraform, CloudFormation).
• Experience with distributed systems.
• Contributions to open-source projects.

Technical Stack

• Languages: Python, C/C++, Bash
• Containers & Orchestration: Docker, Kubernetes
• Cloud Platforms: AWS, GCP, Azure
• CI/CD: GitHub Actions, Jenkins
• ML Tools: MLflow, Weights & Biases, Kubeflow
• Infrastructure-as-Code: Terraform, CloudFormation

Benefits & Compensation

• Competitive Salary: $190,000–$240,000 depending on skills and experience.
• Generous PTO & Flexible Time Off.
• Comprehensive Healthcare Benefits for you and your family.
• Professional Growth: Opportunities to work on advanced ML systems and expand technical expertise.

Work Mode

This is a remote position open to candidates within the United States. It offers a flexible work environment with occasional travel for team meetings.

Jobgether is an equal opportunity employer.