We're seeking a Python-focused DevOps Engineer with strong experience in MLOps.Responsibilities:Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflowsAutomate infrastructure deployments and tool configurations using Terraform or similar IaC toolsWrite clean, maintainable code in Python,Go and other object-oriented programming languages (e.g., Java).
Troubleshoot and resolve issues related to ML workflow deploymentsCollaborate with data science teams to improve developer workflows and ensure seamless integration with tools.Familiarity writing CICD code is a mustRequirements:Hands-on experience with MLOps workflow tools such as MLFlow, Vertex AI, and other similar platformsProficiency in Python, Go and familiarity with another object-oriented programming language (e.g., Java)Experience with Terraform for automated deployments and infrastructure as code (IaC).
Experience with Kubernetes or other containerized orchestration platformsBasic knowledge of cloud technologies (e.g., AWS, GCP)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 process3+ years of experience in MLOps, DevOps, or a related role.Strong problem-solving skills and attention to detail.Ability to work in a fast-paced, dynamic environment.We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products.
Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups.What makes Confiz stand out is our focus on processes and culture.
Confiz isISO : (QMS),ISO *: (ISMS),ISO *: (ITSM) andISO *: (EMS) Certified.
We have a vibrant culture of learning via collaboration and makingworkplace fun.People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.To know more about Confiz Limited, visit:
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