AI/ML DevOps Engineer

4 weeks ago


Bareilly, Uttar Pradesh, India Natlov Technologies Pvt Ltd Full time

 We're Hiring: AI/ML DevOps Engineer

Location: [Remote]

Experience: 2+ years

Employment Type: Full-time

Join Us at [Natlo Technologies Pvt Ltd]

Interested Candidates can send CV to- (techhr@natlov.com)

We're on the lookout for a skilled AI/ML DevOps Engineer to design and scale end-to-end MLOps infrastructure, enabling seamless machine learning lifecycle management — from experimentation to production.

Key Responsibilities:

Design, build, and maintain robust MLOps pipelines supporting model training, validation, deployment, and monitoring.

Use MLflow for experiment tracking, model versioning, and registry.

Develop orchestrated ML workflows with Apache Airflow or Kubeflow Pipelines.

Manage and deploy containerized workloads using Kubernetes.

Implement Infrastructure-as-Code via Terraform.

Build and maintain CI/CD pipelines using Azure DevOps.

Collaborate with Data Scientists and Engineers to automate ML processes.

Utilize Azure ML for managed model training and deployment.

Work with Databricks for scalable data processing and collaborative development.

Must-Have Skills:

2+ years in MLOps, DevOps, or a related role.

Hands-on with MLflow, Airflow or Kubeflow.

Strong in Kubernetes, Terraform, and Azure DevOps.

Experience with Azure ML and Databricks.

Proficient in scripting languages like Python, Bash, or PowerShell.

Solid grasp of CI/CD, Docker, and ML lifecycle management.

Nice-to-Have:

Agile/Scrum environment experience.

Strong problem-solving, documentation, and communication skills.

Cloud certifications such as Microsoft Certified: Azure AI Engineer or Azure DevOps Engineer.


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