DATA SCIENTIST / MACHINE LEARNING ENGINEER
Posted
Summary
On-site role in Abu Dhabi building and deploying ML/deep learning solutions: developing and optimizing models, building NLP solutions with transformers, designing data pipelines, forecasting and anomaly detection, and serving models via REST APIs using Docker and MLflow. Core stack: Python, TensorFlow/PyTorch, Scikit-learn, SQL, Pandas, Spark.
This role involves developing and optimizing machine learning and deep learning models to build intelligent solutions that address real-world challenges The candidate will design data pipelines deploy ML models and collaborate with cross-functional teams to deliver scalable data-driven solutions
Key Responsibilities
- Develop and optimize machine learning and deep learning models
- Build NLP solutions using transformer models and modern AI frameworks
- Design data pipelines for structured and unstructured datasets
- Deploy and manage ML models using REST APIs Docker and MLflow
- Perform time-series forecasting predictive analytics and anomaly detection
Qualifications amp Requirements
- Python Machine Learning Deep Learning and Statistics
- TensorFlow PyTorch and Scikit-learn
- NLP Transformers Hugging Face and spaCy
- SQL Pandas and Apache Spark
- Docker REST APIs and MLflow