Mlops Engineer

Description:

CyberSapient is seeking an experienced MLOps Engineer for a direct-hire opportunity with our premier client in Dubai. This role offers the unique chance to deploy AI solutions at scale while collaborating with industry leaders including Google, Microsoft, and NASA.

The Opportunity:

Design and implement production-grade ML infrastructure for enterprise applications
Optimize and maintain mission-critical AI systems
Contribute to cutting-edge projects with global impact

Join a high-caliber engineering team in Dubai's dynamic tech ecosystem

Core Responsibilities:

• Architect and automate ML pipelines for continuous training and deployment
• Implement robust monitoring and alerting systems for model performance
• Collaborate cross-functionally to ensure seamless model integration
• Maintain and optimize cloud-based ML infrastructure (AWS/GCP/Azure)
• Enforce best practices for model versioning, security, and governance

Technical Requirements:
 

• 1-6 years in MLOps or related field
• Expert proficiency in Python, Docker, and Kubernetes
• Deep experience with ML deployment tools (MLflow, Kubeflow, Airflow)
• Strong background in cloud platforms and CI/CD pipelines