ML Engineer
2 weeks ago
Date Opened
08/04/2025
Job Type
Full time
Work Experience
5+ years
Industry
IT Services
Number of Positions
1
City
Chennai
State/Province
Tamil Nadu
Country
India
Zip/Postal Code
600086
About UsWhy a career in Zuci is unique
Constant attention is the source of our perfection.
We fundamentally believe that building a career is all about consistency. If you jog or walk for a few days, it won't bring in big results. If you do the right things every day for hundreds of days, you'll become lighter, more flexible, and you'll start enjoying your work and life more.
Our customers trust us because of our unwavering consistency. Enabling us to deliver high-quality work and thereby give our customers and Team Zuci the best shot at extraordinary outcomes.
Do you see the big picture?
Is Digital Engineering your forte?
Job DescriptionJob Title: Machine Learning Engineer
Experience Level: 5 - 8 Years Location: Chennai
About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our innovative team within the U.S. healthcare payer sector. You will be instrumental in designing, developing, and deploying cutting-edge machine learning models that address critical business challenges, improve operational efficiency, and enhance member outcomes. This role demands a strong understanding of ML principles, robust software engineering practices, and familiarity with the unique complexities of healthcare data.
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).
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