MLOps Lead
First seen by Alion on Aug 22, 2026.
Job Description :
We are seeking a skilled DevOps + Machine Learning Engineer in Delhi with 6 years of experience and strong experience in designing and developing scalable enterprise applications.
About Us :
CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others.
We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.
Key Responsibilities :
- Build, deploy, and manage machine learning models in production environments.
- Develop and maintain scalable ML pipelines for training, validation, deployment, and monitoring.
- Containerize ML applications using Docker and deploy them on Kubernetes clusters.
- Manage Kubernetes deployments using Helm charts.
- Monitor model performance, automate retraining workflows, and ensure system reliability.
- Work closely 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.
Required Skills :
- 6+ years of experience in MLOps or Machine Learning Engineering.
- Strong knowledge of Machine Learning concepts and model deployment.
- Hands-on experience with Kubernetes.
- Experience with Helm for Kubernetes package management.
- Strong experience with Docker.
- Exposure to Large Language Models (LLMs) and Generative AI applications.
- Familiarity with CI/CD pipelines and cloud platforms is an added advantage.
Why Join CodeVyasa?
- Work on innovative, high-impact projects with leading global clients.
- Exposure to modern technologies, scalable systems, and cloud-native architectures.
- Continuous learning and upskilling opportunities through internal and external programs.
- Supportive and collaborative work culture with flexible policies.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage for employees and dependents.
Skills
Machine Learning, MLOps, Kubernetes, Docker, CI/CD, LLM, Generative AI