MLOps Engineer - AI / Healthcare

MLOps Engineer – Leading Healthcare Company's AI Transformation

Tax-free Budget: 30,000 - 40,000 AED

Location: Dubai, UAE

Department: AI Centre of Excellence (AI CoE)

About the Company:

We are a leading healthcare organisation on a mission to transform health outcomes through cutting-edge innovation and technology. As part of our commitment to responsible and impactful AI adoption, we’ve launched a new AI Centre of Excellence (AI CoE) to identify, evaluate, and integrate advanced AI solutions across the enterprise.

About the Role:

We are seeking an experienced MLOps Engineer to play a vital role in ensuring that both third-party and internally developed AI models are operationally robust, secure, and scalable. This role is central to bridging the gap between model experimentation and enterprise-grade deployment.

You’ll work closely with AI Engineers, Data Scientists, and Product Teams to build a consistent MLOps capability, support vendor evaluations, and ensure that adopted solutions can be deployed and monitored reliably across the organisation.

Key Responsibilities:

Vendor Solution Evaluation

• Assess MLOps maturity of third-party AI tools during proof-of-concept phases
• Evaluate deployment, versioning, monitoring, retraining, and governance capabilities
• Identify integration challenges and provide technical recommendations

Develop and Standardise MLOps Frameworks

• Design operational workflows for scalable, secure AI deployment
• Support both cloud and hybrid environments
• Establish lifecycle management processes, including monitoring and retraining protocols

Automation and CI/CD for ML

• Build automated pipelines for model deployment and testing
• Enable continuous integration/continuous deployment for machine learning systems
• Streamline operational workflows through scripting and tool development

Monitoring and Observability

• Set up dashboards and alerting systems for model performance, availability, and drift detection
• Define operational metrics and ensure incident response readiness

Cross-Team Collaboration & Enablement

• Work with AI and IT teams to align deployment strategies
• Translate model requirements into scalable operational solutions
• Advocate for MLOps best practices across technical teams

Support Internal AI Development

• Provide infrastructure and operational guidance for in-house model development
• Ensure internal builds are production-ready from day one

Required Skills & Experience:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in MLOps, DevOps (ML-focused), or AI/Software Engineering
• Proficiency in Python and Bash scripting
• Hands-on experience with CI/CD tools (e.g., GitHub Actions, GitLab, Jenkins)
• Experience with cloud ML platforms (AWS, Azure, or GCP)
• Familiarity with Docker, Kubernetes, and monitoring tools (e.g., Prometheus, Grafana)

Preferred Experience:

• Master’s degree in a technical discipline
• Experience building MLOps pipelines in regulated industries
• Familiarity with Terraform, MLflow, DVC, Kubeflow, or Airflow
• Understanding of data governance and model security best practices
• Prior exposure to healthcare data or working in a complex enterprise environment

Apply now to be part of a transformative journey in the future of healthcare and AI.