DevOps / MLOps Engineer

Halian; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A global business and technology transformation partner is seeking a Senior AI Ops / MLOps Engineer to design and maintain infrastructure for advanced AI/ML systems. Responsibilities include implementing scalable MLOps pipelines and managing cloud-based infrastructure. The ideal candidate holds a degree in Computer Science and has hands-on experience with ML applications, cloud platforms, and CI/CD tools. This position fosters innovation and diversity in a collaborative team environment.

Qualifications

• Hands‑on experience in building and managing infrastructure and pipelines for machine learning applications.
• Strong knowledge of cloud platforms and containerization technologies.
• Familiarity with MLOps platforms and monitoring tools, along with strong problem‑solving skills.

Responsibilities

• Design and implement scalable MLOps pipelines for the full AI/ML lifecycle.
• Develop and maintain cloud-based infrastructure optimized for AI/ML workloads.
• Build and manage CI/CD pipelines for AI/ML models.
• Implement monitoring and observability solutions for model performance.
• Establish best practices for version control and experiment tracking.
• Collaborate with cross-functional teams to integrate AI/ML models.

Skills

Building and managing ML infrastructure

Cloud platforms

Containerization technologies

Scripting languages

CI/CD tools

MLOps platforms

Education

Bachelor’s or Master’s degree in Computer Science

Job description

Senior AI Ops / MLOps Engineer

A global business and technology transformation partner, enabling organizations to accelerate their digital initiatives and create sustainable impact. The company delivers end-to-end services and solutions, leveraging expertise in strategy, design, and engineering to drive innovation and growth. They are currently seeking a Senior AI Ops / MLOps Engineer to design and maintain infrastructure and processes for advanced AI/ML systems.

Responsibilities

• Design and implement scalable MLOps pipelines for the full AI/ML lifecycle, from experimentation to deployment and monitoring.


• Develop and maintain cloud-based infrastructure optimized for AI/ML workloads.


• Build and manage CI/CD pipelines for AI/ML models, automating testing and deployment processes.


• Implement monitoring and observability solutions to track model performance and system health.


• Establish best practices for version control, experiment tracking, and security compliance.


• Collaborate with cross-functional teams to integrate AI/ML models into applications and services.

Qualifications and Skills

• Bachelor’s or Master’s degree in Computer Science or related technical field.


• Hands‑on experience in building and managing infrastructure and pipelines for machine learning applications.


• Strong knowledge of cloud platforms and containerization technologies.


• Proficiency in scripting languages and automation tools.


• Experience with CI/CD tools and Infrastructure-as-Code frameworks.


• Familiarity with MLOps platforms and monitoring tools, along with strong problem‑solving skills.

Halian Group

With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow’s potential. Discover the amazing things possible when you bring the right people and the right technologies together.

Equity, Diversity & Inclusion

At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high‑performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, improve collaboration, and better reflect the communities they serve.