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

- Robust 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

📌 MLOps Engineer (India)
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