Job Description
We are seeking a skilled DevOps + Machine Learning Engineer| Delhi having 3-6 yrs with 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
3+ 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.Role & responsibilities
