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About the role
Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows Write clean, maintainable code in Python Troubleshoot and resolve issues related to ML workflow deployments Generate and maintain operational reporting pipeline through tools like big query, looker and tableau. Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools. Requirements: Bachelors degree in computer science, Engineering, or a reated field. 5+ years of experience in MLOps, DevOps, or a related role. Hands-on experience with Vertex AI (Also needs Basic understanding of AWS) Understanding of different model and its model deployment, monitoring, and scaling in production environment Proficiency in Python Basic knowledge on reporting tools like Tableau, looker, big query (SQL) Experience with Ecommerce, understand general digital ecommerce concepts Experience with Kubernetes or other containerized orchestration platforms Basic knowledge of cloud technologies GCP and AWS More so AWS Familiarity with security best practices in cloud and containerized environments. Ability to write unit tests, integration tests, and provide clean, reusable code. Passion for utilizing GenAI to reduce manual process Strong problem-solving skills and attention to detail. Ability to work in a fast-paced, dynamic environment. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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