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    Data Scientist - Riyadh, المملكة العربية السعودية - Mozn

    Mozn background
    دوام كامل
    وصف

    Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.

    We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

    We are seeking a Data Scientist with an interest in Natural Language Processing (NLP). In this role, you will assist in developing NLP models, apply problem solving skills, and support in pretraining and fine-tuning Large Language Models (LLMs). The ideal candidate will have a foundational understanding of data science, with a desire to specialise in NLP and machine learning, and a passion for learning and developing real-world solutions.

    As a Data Scientist, your daily workload might include:

    • Assist in the development and implementation of Natural Language Processing (NLP) models.
    • Apply problem-solving skills to assist in the development of new solutions, with a focus on learning and growth.
    • Support in pretraining and fine-tuning Large Language Models (LLMs) for specific tasks, such as document summarization and question answering.
    • Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions.
    • Conduct data analysis and exploratory research to uncover patterns, trends, and insights that can improve model performance and drive business outcomes.
    • Assist in the evaluation and selection of appropriate algorithms, techniques, and methodologies for solving specific NLP problems.
    • Collaborate with senior data scientists and managers to document and communicate the results of model development and experiments effectively.
    • Stay up-to-date with the latest advancements in NLP, machine learning, and related fields, actively seeking opportunities to enhance knowledge and skills.

    Requirements

    Our target profile is candidates with...

    • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
    • Proficiency in Arabic language. Knowledge of Modern Standard Arabic grammar and morphology is a plus.
    • +3 years of experience as a Data Scientist or similar role.
    • Solid understanding of machine learning, NLP, and deep learning techniques.
    • Familiarity with Python's NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers.
    • Excellent problem-solving skills with an emphasis on product development.
    • Handson experience in deep learning frameworks such as TensorFlow or PyTorch.
    • Experience in R&D is a plus.
    • Experience in pre-training, fine-tuning, and building LLMs, with demonstrable results is a plus.
    • Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
    • Must be Humble, Excellent, Relevant with a high sense of Ownership.

    Benefits

    Why Mozn?

    • You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
    • You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
    • The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
    • You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
    • We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

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