Note: The job is a remote job and is open to candidates in USA. Cleerly is a healthcare company revolutionizing heart disease diagnosis and treatment. They are seeking a Senior Machine Learning Software Engineer to design, build, deploy, and optimize ML services in regulated healthcare, focusing on ensuring reliability and performance of ML models.
Responsibilities
- Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance
- Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging
- Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows
- Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring
- Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment
- Identify and resolve workflow inefficiencies or gaps between research and production
- Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability
- Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows
Skills
- 7+ years of experience in software engineering for ML production or ML platform delivery
- Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference
- Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows
- Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility
- Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines
- 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 AI scientists, software engineers, and regulatory teams
Benefits
- 15% target annual bonus
- Stock options
- Paid benefits
- Employee perks
- Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal
- Travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time
Company Overview
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