DevOps Engineer
KnowDis AI is an AI-first e-commerce company seeking a DevOps/ML Engineer to build and maintain the infrastructure powering their AI solutions. The role focuses on designing CI/CD pipelines, managing container orchestration, and supporting ML workflows in production. Candidates must have strong Python skills and experience with DevOps tools alongside a solid grasp of ML pipeline concepts. You will collaborate closely with data science teams to ensure reliable, scalable system deployments.
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Experience
2-3 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
KnowDis AI is an AI-first e-commerce company seeking a DevOps/ML Engineer to build and maintain the infrastructure powering their AI solutions. The role focuses on designing CI/CD pipelines, managing container orchestration, and supporting ML workflows in production. Candidates must have strong Python skills and experience with DevOps tools alongside a solid grasp of ML pipeline concepts. You will collaborate closely with data science teams to ensure reliable, scalable system deployments.
TAL's take
Mid-tier startup with a clear, well-scoped MLOps/DevOps focus at the intersection of AI and infrastructure.
The role clearly defines the intersection of DevOps and MLOps, specific responsibilities, and the necessary tech stack.
Must haves
- 2-3+ years experience in DevOps, backend engineering, or MLOps
- Strong Python skills for production-grade backend code
- Solid understanding of ML algorithms and workflows
- Hands-on experience designing and maintaining CI/CD pipelines
- Experience with Docker and Kubernetes
- Familiarity with ML tooling like MLflow, Kubeflow, or Airflow
Tools and skills
About the company
unfamiliar company, default mid-tier