Requirements
Requires 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. Must have knowledge of ML system architecture, model optimization, Python, modern ML/AI frameworks, Docker, Kubernetes, CI/CD, MLflow/Kubeflow, model serving, APIs, and production deployment. Hands-on experience deploying ML models on AWS or Azure is required.
Description
Job Role:-Machine Learning EngineerJob Location:- Abu Dhabi, UAEExperience:- 3-7 YearsRole Overview:-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.Key Responsibilities:-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.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.Collaborate with cross-functional engineering and business teams to deliver end-to-end AI solutions.Deploy and manage ML solutions on AWS/Azure.Requirements & Skills:-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.Strong understanding of ML system architecture and model optimization.Experience with Python and modern ML/AI frameworks.Knowledge of Docker, Kubernetes, CI/CD, MLflow/Kubeflow or similar MLOps tools.Experience with model serving, APIs, and production deployment.Hands-on experience deploying ML models on AWS or Azure.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