ML Engineer - Cardiovascular Multi-Omics (Hybrid)

Cardio Diagnostics Inc.; Chicago (IL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) and Roth 401(k) with company  

Hybrid schedule: 4 days in office, 1 W

Job summary

Cardio Diagnostics is seeking a full-time, on-site Machine Learning Engineer to develop an advanced platform and drive ML initiatives across operations, modeling, and data engineering.

You will own end-to-end ML projects, build data pipelines, collaborate with scientists, and implement MLOps practices using cloud infrastructure. The role emphasizes production ML, code quality, and effective communication with stakeholders.

Qualifications

• MS or PhD in a quantitative field (e.g., CS, bioinformatics, ML, statistics).
• Strong ability to translate complex technical concepts to diverse audiences.
• Proven ability to learn new technologies and apply them quickly.
• Advanced programming skills in Python.

Responsibilities

• Design, develop, and maintain data pipelines and ML models.
• Collaborate with scientists and engineers on healthcare ML solutions.
• Implement MLOps practices including model performance tracking and drift detection.
• Scale and deploy ML models using cloud infrastructure.
• Ensure code quality and perform regular code reviews.

Skills

Python

ML in production

Communication

Model deployment

Data pipelines

Cloud computing

Python libraries (PyTorch, scikit-lear

Education

MS or PhD in a quantitative discipline

Tools

SageMaker

MLflow

PyTorch

scikit-learn

Job description

Cardio Diagnostics is seeking a full-time, on-site Machine Learning Engineer to develop an advanced platform and drive ML initiatives across operations, modeling, and data engineering.

You will own end-to-end ML projects, build data pipelines, collaborate with scientists, and implement MLOps practices using cloud infrastructure. The role emphasizes production ML, code quality, and effective communication with stakeholders.