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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, train, and deploy AI/ML models and end-to-end ML pipelines including data preprocessing, training, validation, deployment, and monitoring.
Develop Python automation for test suites, model validation, workflow orchestration, and integrate ML pipelines into CI/CD environments using tools like CMake and Bazel.
Collaborate with DevOps teams to apply MLOps best practices, deploy and optimize ML workloads on AWS, and troubleshoot build and performance issues.
Minimum Requirements
3 to 6 years of hands-on experience in AI/Machine Learning development.
Proficiency in Python for automation, ML model development, and testing.
Experience with CI/CD pipeline integration, DevOps practices, and cloud-based ML deployment primarily on AWS.
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
Ideal Candidate Profile
Experienced AI/ML engineer comfortable working on complex ML workflows and automation within DevOps and MLOps frameworks.
Skilled in using Python for automating ML pipeline components and integrating them into CI/CD pipelines with build tools (CMake, Bazel).
Familiar with cloud environments (AWS) and collaborating across cross-functional teams to deliver scalable, reliable AI solutions.