Machine Learning Engineer

Overview

Join Net2Source Inc., a global leader in workforce solutions operating across 32 countries with over 5,500 employees. This opportunity is based in Abu Dhabi, UAE, focusing on the banking sector with permanent employment offered.

Role Description

We are looking for a Machine Learning Engineer with extensive experience in delivering scalable AI systems ready for production. The candidate should excel in machine learning disciplines including supervised and unsupervised learning, deep learning, natural language processing, computer vision, and generative AI models such as large language models.

Responsibilities & Skills

• Design and implement robust ML system architectures.
• Develop and optimize model serving strategies using API frameworks like FastAPI and Flask for both real-time and batch inferencing.
• Contribute to the deployment and management of ML models using containerization and orchestration technologies including Docker and Kubernetes.
• Engage in continuous integration and deployment processes and manage model lifecycle tools such as MLflow and Kubeflow supporting MLOps best practices.
• Deploy ML workflows on cloud platforms such as AWS or Microsoft Azure.

Requirements

• Minimum of 3 years of experience in building production-grade AI systems.
• Proficiency in advanced machine learning concepts and frameworks.
• Solid knowledge of ML system architecture, API development, and performance tuning.
• Familiarity with containerization, orchestration, CI/CD pipelines, and MLOps tooling.
• Experience with cloud deployment on AWS or Azure.
• Preferred academic credentials include a Master’s degree or PhD in Computer Science or a related discipline.

Additional Information

Net2Source supports inclusive hiring aligned with UAE labor laws. The company is recognized by INC 5000 & SIA and operates globally from locations including UAE, USA, India, UK, Singapore, Canada, and ANZ.