Machine Learning Engineer

Halian; Abu Dhabi Emirate; On-site; AED 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a skilled ML Ops Engineer to lead the design and management of CI/CD pipelines for machine learning workflows. This role involves collaborating with data scientists and software engineers to ensure seamless automation of model deployment and monitoring the performance of pipelines. With a focus on Azure DevOps and containerization tools like Docker and Kubernetes, this position offers an exciting opportunity to shape the future of machine learning operations in a dynamic environment. If you have a passion for automation and a strong technical background, this role could be your next career milestone.

Qualifications

• 6+ years of experience in machine learning operations and CI/CD pipelines.
• Strong expertise in Azure DevOps and automation scripting.

Responsibilities

• Design and manage CI/CD pipelines for machine learning workflows.
• Collaborate with teams to optimize automation for model deployment.

Skills

CI/CD pipelines

Azure DevOps

Docker

Kubernetes

Python

Bash

Shell scripting

TensorFlow

PyTorch

Scikit-learn

Job description

Halian Abu Dhabi Emirate, United Arab Emirates

Machine Learning Engineer

Halian is hiring an ML Ops Engineer in Abu Dhabi, UAE.

Experience required : 6+ Years

Duration : 6 Months to Permanent

Mandatory : Expertise in Azure DevOps with ML Ops integration.

Responsibilities :

• Design, implement, and manage CI/CD pipelines tailored for machine learning workflows.
• Ensure proper versioning and automated deployment of machine learning models into production, staging, or testing environments.
• Collaborate with data scientists and software engineers to optimize automation processes for training, validating, and deploying models.
• Monitor the performance and reliability of CI/CD pipelines and make necessary adjustments.
• Set up environments and fully implement scalable machine learning operations.

Technical Skills :

• At least 7 years of experience in setting up and maintaining CI/CD pipelines, preferably for machine learning.
• Strong understanding of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in scripting languages such as Python, Bash, or Shell for automation.