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About the role
Role: ML Engineer Experience: 5 - 10 Years-must Immediate Joiners Preferred Must Have Skills Python FastAPI REST APIs Pydantic Unit Testing Backend Development CI/CD Docker Git Database Connectivity Deployment Pipelines Key Responsibilities Develop, test, and maintain REST API endpoints and health check services. Set up and maintain development environments and workflows. Review, optimize, and maintain existing code repositories. Validate and troubleshoot database connectivity issues. Write unit, integration, and failure test cases for backend systems. Implement robust data validation using Pydantic. Build reliable CI/CD pipelines and deployment workflows. Ensure software engineering best practices, code quality, and automation standards. Support ML deployment lifecycle activities rather than model training or Generative AI development. Required Qualifications 5+ years of experience in backend or ML engineering. Solid proficiency in Python and FastAPI. Experience with RESTful API development and microservices architecture. Hands-on experience with Docker, Git, and CI/CD tools. Positive understanding of testing frameworks and deployment automation. Experience working with databases and connectivity validation. Solid debugging, problem-solving, and collaboration skills. Preferred Skills Experience in cloud deployment environments. Knowledge of scalable deployment architecture. Familiarity with software development lifecycle and DevOps practices. Compensation: 100,000.00 - 200,000.00 per month Work Location: In person .