ML / Integration Engineer

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or a related field.

3–8 years of experience in software development, Machine Learning Engineering, or AI integration.

At least 2 years of experience in the healthcare industry, preferably in healthcare BPO, payer, provider, or health technology environments.

Strong programming skills in Python, Java, C#, or Node.js.

Experience integrating RESTful APIs, GraphQL, or gRPC services.

Hands-on experience with AI/ML development and frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Knowledge of containerization technologies such as Docker and Kubernetes.

Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

Experience working with SQL and NoSQL databases.

Strong understanding of software architecture, distributed systems, and microservices.

Technical Skills

Programming: Python, Java, C#, Node.js

AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn

API Integration: RESTful APIs, GraphQL, gRPC

Containerization: Docker, Kubernetes

CI/CD: GitHub Actions, Azure DevOps, Jenkins, GitLab CI

Cloud Platforms: AWS, Microsoft Azure, Google Cloud

Databases: SQL and NoSQL

Originally posted on Himalayas