Machine Learning Engineer

• Design, develop, and deploy scalable ML/AI solutions for complex business problems.
• Build production-grade ML systems covering model development, deployment, optimization, and lifecycle management.

Machine Learning Engineer

Abu Dhabi, UAE

3-7 Years

• Design, develop, and deploy scalable ML/AI solutions for complex business problems.
• Build production-grade ML systems covering model development, deployment, optimization, and lifecycle management.

• Work with large and complex datasets to develop data-driven solutions.
• Develop, train, fine-tune, and optimize ML, deep learning, neural network, Agentic AI, SLM/LLM models
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• Build end-to-end ML pipelines covering data ingestion, transformation, training, validation, and deployment.
• Develop and optimize real-time and batch inference solutions.
• Build ML system architectures and integrate models into production applications.
• Automate model training, testing, deployment, and monitoring using CI/CD and MLOps practices.
• Develop model-serving APIs using FastAPI/Flask
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• Collaborate with cross-functional engineering and business teams to deliver end-to-end AI solutions.
• Deploy and manage ML solutions on AWS/Azure
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• 3-7 years of experience building and deploying production-grade, scalable AI/ML systems.
• Strong expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or Generative AI/LLMs
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• Strong understanding of ML system architecture and model optimization
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• Experience with Python and modern ML/AI frameworks
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• Knowledge of Docker, Kubernetes, CI/CD, MLflow/Kubeflow or similar MLOps tools
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• Experience with model serving, APIs, and production deployment
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• Hands-on experience deploying ML models on AWS or Azure
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• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's/PhD in Computer Science or related field is preferred.
• Banking Exposure is preferred