MLOps Engineer: CI/CD, IaC & Production ML

Leading Edge; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

Leading Edge in Dubai is seeking a Machine Learning Operations (MLOps) Specialist to bridge data science and IT operations, ensuring seamless production deployment of ML models.

You will develop CI/CD pipelines, automate deployment and monitoring, and implement IaC while collaborating with data scientists and engineers to optimize model performance and scalability.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 5 years of experience in MLOps/DevOps or related role.
• Strong understanding of ML concepts, algorithms and cloud platforms (AWS, Azure, GCP).
• Proficiency in Python or similar scripting languages.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI or CircleCI.

Responsibilities

• Developing and maintaining CI/CD pipelines for ML models.
• Automating deployment and monitoring of models in production.
• Implementing Infrastructure as Code (IaC) for ML infra.
• Troubleshooting and resolving deployment and performance issues.
• Collaborating with data scientists and engineers to optimize performance and integration.

Skills

MLOps

CI/CD

Python

Docker

Kubernetes

Cloud platforms

IaC

Education

Bachelor's degree in CS or related

Tools

GitLab CI

CircleCI

Jenkins

Job description

Job Summary:
A Machine Learning Operations (MLOps) Specialist plays a vital role in bridging the gap between data science and IT operations ensuring seamless integration of machine learning models into production environments. Heres a breakdown of the job:

Key Responsibilities:

Developing and Maintaining CI/CD Pipelines: Create automated workflows for building testing and deploying machine learning models.

Automating Deployment and Monitoring: Ensure models are deployed efficiently and their performance is continuously tracked in production environments.

Implementing Infrastructure as Code (IaC): Manage ML infrastructure using code to ensure consistency and scalability.

Troubleshooting and Resolving Issues: Identify and fix problems related to model deployment and performance.

Collaboration: Work with data scientists and engineers to optimize model performance scalability and integration.

Requirements:

Education: Bachelors degree in Computer Science Engineering or a related field.

Experience: 5 years in MLOps DevOps or a related role.

Technical Expertise: Strong understanding of machine learning concepts algorithms and cloud platforms (AWS Azure GCP).

Scripting Skills: Proficiency in Python or similar scripting languages.

Containerization: Experience with Docker and Kubernetes.

CI/CD Tools: Familiarity with Jenkins GitLab CI CircleCI or similar.