ML/Integration Engineer

Qualifications:

• 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 knowledge of AI development.

• 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.


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Recruitment Process:

• Validation

• Zwayam profile creation

• HR Interview

• Hiring Manager Interview

• Onboarding