Data Scientist

Description:

Mind Pool Technologies is seeking an experienced Data Scientist to join its team in Abu Dhabi, United Arab Emirates. This opportunity is ideal for professionals currently based in the UAE who are available to join immediately and are eager to work on innovative Artificial Intelligence and Machine Learning projects.

The selected candidate will contribute to the design, development, and deployment of advanced AI solutions that address real-world business challenges. This role offers the opportunity to work with modern machine learning frameworks, natural language processing technologies, and cloud-based AI platforms while collaborating with a skilled technical team.

Key Responsibilities:

• Design, develop, and optimize Machine Learning and Deep Learning models for business applications.

• Build scalable AI solutions using modern data science tools and frameworks.

• Develop and deploy Natural Language Processing (NLP) models and transformer-based applications.

• Analyze large datasets to generate valuable insights and improve predictive performance.

• Collaborate with cross-functional teams to integrate AI solutions into production environments.

• Maintain, monitor, and enhance machine learning models throughout their lifecycle.

Requirements:

• Minimum 6 years of professional experience in Data Science or Applied Machine Learning.

• Strong proficiency in Python programming.

• Hands-on experience with Machine Learning, Deep Learning, TensorFlow, PyTorch, and Scikit-learn.

• Experience working with Natural Language Processing technologies and transformer models.

• Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, or a related discipline.

• Candidates must currently be available in the UAE and able to join immediately.

• Strong knowledge of:

• TensorFlow, PyTorch, and Scikit-learn

• NLP, Transformers, Hugging Face, spaCy, and Gensim

• SQL, Pandas, Apache Spark, Docker, REST APIs, and MLflow

• Large Language Models (LLMs)

• Cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)