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.