Data Scientist

Job Title: Data Scientist Company: Saal.ai Job Category: Machine Learning Roles & Responsibilities: As a Data Scientist at SAAL.ai, you will apply machine learning and deep learning techniques to solve real\-world business problems across numeric and text\-based analytics. You will work across the full data science lifecycle—from data acquisition and feature engineering to model development and deployment—collaborating closely with engineering, product, and DevOps teams to deliver customer\-centric AI solutions. Key Responsibilities * Develop and deliver high\-quality machine learning and deep learning models across a broad range of analytics use cases. * Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness. * Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance. * Identify valuable data sources and automate data collection and preparation processes where possible. * Build, fine\-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace. * Collaborate closely with engineering and DevOps teams to support model deployment and operationalization. * Contribute to applied research activities, propose data\-driven solutions to business challenges, and work with product, support, and client\-facing teams to ensure successful rollout of AI solutions into trials and general availability. Work Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates Availability: Full time

Key Skills Experience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud\-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git\-based workflows. Domain experience with education or finance datasets is an advantage. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, Feature Engineering, NLP Salary: Not disclosed