Mlops Engineer

TL;DR

MLOps Engineer (AI): Deploying, monitoring, and maintaining machine learning models in production environments with an accent on model tracking, API development, and scalable ML pipelines. Focus on building and maintaining REST APIs for model inference, deploying solutions on Azure, and setting up CI/CD pipelines for model performance and drift monitoring.

Location: Remote from India, Hybrid, or Onsite in Hyderabad

Company

hirify.global is looking for an experienced MLOps Engineer to manage machine learning models.

What you will do

• Deploy and manage ML models in production environments.
• Implement model tracking and experiment management.
• Build and maintain REST APIs for model inference.
• Develop scalable ML pipelines using Python.
• Deploy and manage solutions on Azure (Azure ML, AKS, Blob Storage, DevOps).
• Set up CI/CD pipelines and monitor model performance and drift.

Requirements

• Strong proficiency in Python.
• Experience with model tracking tools.
• Hands-on experience in API development.
• Experience working with Microsoft Azure.
• English: B2 required.
• Work format: Remote from India, Hybrid, or Onsite in Hyderabad.

Nice to have

• Knowledge of Docker, Kubernetes, and Git.

Culture & Benefits

• Not specified.