ML Integration Engineer

Qualifications

• Bachelors or Masters degree in Computer Science Information Technology Artificial Intelligence Engineering or a related field.
• 38 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 .
• 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#
• 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