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 workflows
- Automate infrastructure deployments and tool configurations using Terraform or similar IaC 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 must
Requirements :
- 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 (IaC).
- 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 GenAI to reduce manual process
- 3+ 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 enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
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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 IaC 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 must
Requirements :
- 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 (IaC).
- 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 GenAI to reduce manual process
- 3+ 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 enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
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