ML/Integration Engineer
Description
ML/Integration Engineer
Hybrid
Flexible to work on shifting schedule if business asks (weekends, night shift, holidays)
Required:
• Graduate or Master’s Degree with 5 years in Information technology, Computer science Engineering with at least 2+ years in healthcare (CPO/BPO, payer, provider, or health tech).
• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• 3–8 years of experience in software development, ML engineering, or AI integration.
• Strong programming skills in Python, Java, C#, or Node.js.
• Experience integrating RESTful APIs, GraphQL, or gRPC services.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience or knowledgable of AI delopment.
• Knowledge of containerization using Docker and Kubernetes.
• Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). • Experience with databases including SQL and NoSQL.
• Strong understanding of software architecture, distributed systems, and microservices