AI Engineer
Summary
Builds and deploys enterprise machine-learning models across multiple domains as an R&D engineer, focused on data science, NLP, computer vision, and MLOps. The core stack is Python with ML libraries (PyTorch, TensorFlow, scikit-learn), Elasticsearch, and cloud platforms (AWS, Azure, GCP), based in Beirut.
- A master’s degree in a STEM subject or equivalent practical experience.
- 3+ years of industrial experience in the areas of machine learning, computer vision, natural language processing, or data mining.
- Fluency in Python development, backed by practical experience using machine learning libraries like pandas, PySpark, NumPy, SciPy, scikit-learn, Keras, PyTorch, TensorFlow, or equivalent.
- Hands-on experience with advanced NLP techniques such as BERT, transformers, and others.
- Proficiency in using modern search libraries (preferably Elasticsearch).
- Technical experience in deploying cloud-native solutions (AWS, Azure, GCP).
- Practical experience in MLOps with a proven record of maintaining and supporting your models in production environments.
- A demonstrated ability to exercise technical judgment in solving complex challenges.
- Ability to function as an influential member of a highly integrated team composed of both technical and non-technical members.