Machine Learning Operations (MLOps) Specialist

Client of LeadingEdge HR Solutions; Dubai; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading company in Dubai is seeking a Machine Learning Operations (MLOps) Specialist. This role is crucial for integrating machine learning models into production environments, focusing on CI/CD pipelines, automation, and collaboration with data scientists. The ideal candidate will have a strong background in MLOps and cloud platforms.

Qualifications

• 5+ years in MLOps, DevOps, or a related role.
• Proficiency in Python or similar scripting languages.

Responsibilities

• Developing and maintaining CI/CD pipelines for ML models.
• Automating deployment and monitoring of models in production.

Skills

Machine Learning

Collaboration

Troubleshooting

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Tools

Docker

Kubernetes

Jenkins

GitLab CI

CircleCI

Job description

Machine Learning Operations (MLOps) Specialist

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. Here's 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: Bachelor's 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.

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