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