Machine Learning Engineer
- Abu Dhabi, United Arab Emirates
Posted yesterday
About the role
ROLE PROFILE
- Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes
KEY RESPONSIBILITIES
- Work with large and complex data sets to solve challenging business problems
- Efficient training and deployment of standard ML, NN, and Agentic models.
- Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks
- Build production grade end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment
- Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools
- Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions
- Finetune SLMs/LLMs and build complex AI architectures
PROFESSIONAL EXPERIENCE/QUALIFICATIONS
- (3-7) years of experience in building production grade, scalable AI systems.
- Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
- Strong ML system architecture skills
- Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.
- General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
- Comfortable with deploying models on AWS or Azure
- Minimum Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required
- Preferred Education qualifications: Master or PhD in Computer Science or a related field.
Skills: Machine Learning , AI-driven solutions , ML system architecture