We’re seeking a Python-focused Dev Ops Engineer with strong experience in MLOps.
Responsibilities:
Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
Automate infrastructure deployments and tool configurations using Terraform or similar Ia C tools
Write clean, maintainable code in Python, Go and other object-oriented programming languages (e.g., Java).
Troubleshoot and resolve issues related to ML workflow deployments
Collaborate 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 platforms
Proficiency in Python, Go and familiarity with another object-oriented programming language (e.g., Java)
Experience with Terraform for automated deployments and infrastructure as code (Ia C).
Experience with Kubernetes or other containerized orchestration platforms
Basic 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 Gen AI to reduce manual process
3+ years of experience in MLOps, Dev Ops, 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 multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz isISO 9001:2015 (QMS),ISO 27001:2022 (ISMS),ISO 20000-1:2018 (ITSM) andISO 14001:2015 (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: #J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
