Machine Learning Ops Engineer

Overview

Agnito Technologies is Hiring: Machine Learning Ops Engineer (MLOps)

Location: Bhopal (Work From Office)

Vacancy: 1

Experience: 5+ years managing ML pipelines in production

Package: No bar for the right candidate

Key Responsibilities:

• Design, implement, and manage end-to-end machine learning pipelines in production environments
• Automate model deployment workflows using CI/CD tools
• Containerize ML models and services with Docker and orchestrate them using Kubernetes
• Work with platforms like MLflow, Kubeflow, and Seldon for experiment tracking and model management
• Deploy and monitor models in AWS SageMaker or similar cloud environments
• Collaborate with data scientists, DevOps, and software engineers to ensure smooth production rollouts

Key Skills:

• MLflow, Kubeflow, Seldon
• Docker, Kubernetes
• CI/CD for ML models
• AWS SageMaker or equivalent cloud ML platforms
• Strong understanding of MLOps principles and real-time production deployment

Eligibility:

• 5+ years of hands-on experience in managing ML pipelines and deployments
• Proven experience in MLOps tools and practices in production environments

Job Type: Full-time

Schedule:

• Day shift

Work Location: In person