[Remote] Sr. Software Engineer - ML Systems
Note: The job is a remote job and is open to candidates in USA. Cleerly is a healthcare company focused on revolutionizing the diagnosis and treatment of heart disease through AI-driven solutions. They are seeking a Senior Software Engineer to design and optimize production-ready machine learning services in a regulated healthcare environment, ensuring reliability and compliance throughout the software lifecycle.
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
Skills
- 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
Benefits
- 15% target annual bonus
- Stock options
- Paid benefits
- Employee perks
Company Overview
Company H1B Sponsorship