Senior Software Engineer - ML Systems

Cleerly • Denver, CO

1d • Remote

About The Position

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
• 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.
• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.
• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.
• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards.
• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
• Translate product requirements into well-defined technical designs proactively shaping implementation details.
• Contribute to the necessary technical documentation required for regulatory submissions.
• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees