Machine Learning Engineer

Responsibilities:

• Design, develop, and implement scalable machine learning models and algorithms to

solve complex problems related to claims processing, fraud detection, risk stratification,

member engagement, and predictive analytics within the payer landscape.

• Collaborate closely with data scientists, product managers, and other engineering teams

to translate business requirements into technical specifications and deliver end-to-end ML

solutions.

• Develop and optimize ML model training pipelines, ensuring data quality, feature

engineering, and efficient model iteration.

• Conduct rigorous model evaluation, hyperparameter tuning, and performance

optimization using statistical analysis and best practices.

• Integrate ML models into existing applications and systems, ensuring seamless

deployment and operation.

• Write clean, well-documented, and production-ready code, adhering to high software

engineering standards.

• Participate in code reviews, contribute to architectural discussions, and mentor junior

engineers.

• Stay abreast of the latest advancements in machine learning, healthcare technology, and

industry best practices, actively proposing innovative solutions.

• Ensure all ML solutions comply with relevant healthcare regulations and data privacy

standards (e.g., HIPAA).

Required Technical Skills:

• Programming Language:

  Expert proficiency in Python.

• Machine Learning Libraries:

  Strong experience with PyTorch and scikit-learn.

• Version Control:

  Proficient with Git and GitHub.

• Testing:

  Solid understanding and experience with Python unittest framework and Pytest

for unit, integration, and API testing.

• Deployment:

  Hands-on experience with Dockerized deployment on AWS or Azure cloud

platforms.

• CI/CD:

  Experience with CI/CD pipelines using AWS CodePipeline or similar alternatives

(e.g., Jenkins, GitLab CI).

• Cloud Platforms:

  Experience with AWS or Azure services relevant to ML workloads

(e.g., Sagemaker, EC2, S3, Azure ML, Azure Functions).