MLOps Engineer

Hiring: MLOps Engineer | Offshore | 7+ Years Experience

We are looking for an experienced MLOps Engineer with 7+ years of experience across MLOps, DevOps, ML Engineering, Cloud, Kubernetes, CI/CD, and production ML model deployment.

Role Overview

The ideal candidate will be responsible for building scalable, automated, and production-ready ML/AI platforms and pipelines across cloud and hybrid environments.

Key Responsibilities

• Design and implement end-to-end MLOps pipelines for model training, validation, deployment, monitoring, and retraining
  
• Deploy and manage ML/DL models using Kubernetes and containerized environments
  
• Build CI/CD pipelines for automated ML testing, deployment, versioning, rollback, and release management
  
• Implement MLflow, Model Registry, experiment tracking, model lineage, and governance
  
• Implement model monitoring, data drift, model drift, performance monitoring, alerting, and observability
  
• Develop scalable model serving/inference solutions and optimize production ML infrastructure
  
• Implement Infrastructure as Code (IaC) using Terraform and DevOps best practices
  
• Collaborate with Data Scientists and Engineering teams to productionize ML models
  

Required Skills

• 7+ years of experience in MLOps / ML Engineering / DevOps / Software Engineering
  
• Strong proficiency in Python, SQL, and Bash/Shell
  
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and XGBoost
  
• Strong experience with Cloud, Kubernetes, Docker, CI/CD, and ML model deployment
  
• Experience with MLflow, model monitoring, observability, and Terraform
  
• Strong understanding of production ML systems and scalable infrastructure
  

Location: Offshore
Experience: 7+ Years
Role: MLOps Engineer