DevOps Engineer (DevOps + Machine Learning Engineer / MLOps) at CodeVyasa
Listed by DevShelfHub
About the Role
Product engineering orgs shipping GenAI need DevOps + ML engineers who can containerize models and run Helm on Kubernetes—not only classic app pipelines. CodeVyasa is hiring a DevOps Engineer (DevOps + Machine Learning / MLOps focus) in Delhi for 3–6 years’ experience to deploy and operate ML systems in production.
You will build scalable ML pipelines, containerize with Docker, manage K8s via Helm, automate retraining/monitoring, implement CI/CD for ML workflows, and partner with data scientists and software engineers.
What you'll do
- Build, deploy, and manage machine learning models in production
- Develop and maintain scalable ML pipelines for training, validation, deployment, and monitoring
- Containerize ML applications with Docker and deploy on Kubernetes
- Manage Kubernetes deployments using Helm charts
- Monitor model performance; automate retraining; ensure reliability
- Work with Data Scientists and Software Engineers to streamline model deployment
- Optimize infrastructure for scalability, security, and cost efficiency
- Implement CI/CD pipelines for ML workflows
What we're looking for
- Mandatory
- 3+ years in MLOps or Machine Learning Engineering
- Strong ML concepts and model deployment knowledge
- Hands-on Kubernetes; Helm package management; strong Docker
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This Delhi MLOps/DevOps seat fits engineers who want production ML on Kubernetes with GenAI exposure inside a large product-engineering services company.
- Delhi full-time DevOps + ML / MLOps role
- Clear 3–6 / 3+ years experience band
- Production ML model deployment ownership
- Kubernetes + Helm + Docker depth
- CI/CD for ML workflows
- Work with leading global client brands cited
- 550+ engineer product/data engineering culture
- Agentic AI / GenAI / RPA technology exposure
- Continuous learning programs
- Free healthcare coverage for employees and dependents (stated)
- Flexible policies / collaborative culture (stated)
- Official joindevops apply path
About CodeVyasa
- Industry
- Technology
- Company Size
- 500+
- Website
- codevyasa.com
Skip the queue
Contact the recruiter directly at CodeVyasa and follow up personally — most applicants never do.
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–7 years
- Location
- Delhi, IN (Full-time)
- Work Mode
- Hybrid
- Category
- AI / ML
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