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Azure AI/MLOps Engineer

Everest Technologies, Inc.
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
dice.com

Tech stack

Java (Programming Language) Computer Programming Python (Programming Language) Machine Learning Tensorflow Pytorch Containerization Scikit Learn Kubernetes Deployment Automation Machine Learning Operations Software Library
+1 more
Docker

Requirements

  • Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps

  • Strong programming skills, preferably in languages like Python, Java, or Scala

  • Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn

  • Experience with containerization technologies, like Docker and Kubernetes

  • Familiarity with ML model deployment tools, such as MLflow or Kubeflow

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This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

Videos

See all
Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • 2 months ago

Docker Compose: Rediscovered

Matthieu Vincent

Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

HÃ¥kan Silfvernagel

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • about 2 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

Christoph Lohrmann, Utz Bacher

DevOps for Machine Learning thumbnail
44:40
World Congress 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

Docker build without Docker thumbnail
28:40
World Congress 2026 Europe • about 2 months ago

Docker build without Docker

Oliver Seitz

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