MLOps Engineer

Description :

Job Title : MLOps Engineer

Location : Hyderabad, Mumbai, Delhi/NCR (Gurgaon), Bengaluru, Kolkata, Pune, Chennai

Contract : Hybrid

Work Timings : 11 : 00 AM 8 : 00 PM

Experience : 5+ Years

Job Summary :

We are looking for an experienced MLOps Engineer with strong hands-on expertise in GCP or Azure and Kubernetes-based ML deployments. The ideal candidate will build, automate, and optimize scalable machine learning pipelines and deploy models into production environments.

Key Responsibilities :

- Design, build, and maintain end-to-end ML pipelines

- Deploy and manage machine learning models on Kubernetes

- Automate ML workflows including training, validation, and deployment

- Optimize ML pipelines for scalability, reliability, and performance

- Collaborate with data scientists and engineering teams

- Implement and maintain CI/CD pipelines for ML workloads

- Monitor deployed models and pipelines for performance and stability

Mandatory Skills and Experience :

- 5+ years of experience as an MLOps or ML Engineer

- Strong programming skills in Python

- Good working knowledge of SQL

- Hands-on experience with Kubernetes

- Proven experience in deploying ML models

Cloud Skills (Any One Required) :

GCP :

- Vertex AI

- GKE

- Cloud Build for CI/CD

- BigQuery and Google Cloud Storage

Azure :

- Azure Machine Learning

- AKS

- Azure DevOps Pipelines

- ADLS or Blob Storage

- Azure SQL or Synapse (basic knowledge)

Good to Have :

- Experience with both GCP and Azure

- Strong understanding of the ML lifecycle

- Experience in ML pipeline automation and optimization