1. About Our Client:

The organization operates in the healthcare sector, focusing on improving diagnosis, treatment, and monitoring of heart disease. Founded in 2017 by a leading cardiologist, it develops AI-driven precision diagnostic solutions aimed at preventing heart attacks by quantifying and characterizing atherosclerosis in heart arteries. Supported by extensive clinical trial data and significant funding, the organization offers technology that advances beyond traditional heart disease measures. Its teams work primarily remotely with offices in multiple U.S. cities and Lisbon, Portugal.

2. About the Opportunity:

The Senior Software Engineer - ML Systems is responsible for designing, building, deploying, monitoring, and optimizing production-ready machine learning services in a regulated healthcare environment. This role involves hands-on work to package, test, orchestrate, and maintain ML models while improving workflows and implementing CI/CD and automated testing. The position contributes directly to ensuring reliable and high-performance AI/ML services that support the organization’s mission and compliance objectives.

3. Responsibilities:

• Design, build, and deploy scalable AI/ML services balancing performance, maintainability, security, and extensibility

• Manage full lifecycle delivery of complex features from architecture to post-release observability

• Establish and enforce testing standards for AI services including unit, integration, and end-to-end tests to ensure production reliability and regulatory compliance

• Integrate CI/CD and MLOps practices for automated model building, testing, and deployment

• Translate product requirements into clear technical designs and implementation plans

• Create technical documentation needed for regulatory submissions

• Collaborate cross-functionally to share knowledge and maintain continuity in critical systems

4. 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 in unit and integration testing for ML models, including data validation and reproducibility

• Proficiency with CI/CD, orchestration tools (Airflow, MLflow, Kubernetes, Terraform), and ML/data platforms (SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark)

• Strong collaboration skills across ML scientists, engineers, and regulatory teams

• Ability to work effectively in ambiguous environments and clarify requirements among diverse stakeholders

5. Pay Range and Compensation Package:

• Base Salary: $153,000 - $179,000

• Total Target Compensation (TTC): $176,000 - $206,000, including a 15% target annual bonus

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

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