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

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

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

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API Integration: RESTful APIs, GraphQL, gRPC

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Containerization: Docker, Kubernetes

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

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Cloud Platforms: AWS, Microsoft Azure, Google Cloud

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Databases: SQL and NoSQL

Originally posted on Himalayas