Presight is seeking a qualified Senior Data Scientist with the ability to drive business growth and operational efficiency. As a leading ADX-listed public company, majority-owned by G42, we specialize in big data analytics powered by GenAI. Our mission is to blend big data, analytics, and AI expertise to support various sectors, creating impactful business and societal outcomes while enabling insight-driven decision-making that leads to safer, healthier, and more sustainable societies.
Join us at our Abu Dhabi office in a full-time, on-site position where you will have the opportunity to develop and deliver a variety of data products, including predictive models and machine learning solutions.
Key Responsibilities:
- End-to-End Machine Learning and Deep Learning Model Development.
- Apply domain knowledge in NLP, Audio, or Computer Vision.
- Demonstrate advanced skills in Python, PyTorch, sklearn, pandas, Docker, and REST API development.
- Conduct thorough model selection, testing, benchmarking, and scaling models for large-scale data.
- Ensure compliance with QHSE, Business Continuity, Information Security, and Governance policies.
Qualifications:
- Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
- 5+ years of experience in end-to-end machine learning and deep learning model training on GPU servers (preferably with AMD GPU experience).
- A commitment to research and an investigative approach to problem-solving.
- Excellent communication skills.
What We Look For:
If you are performance-driven and adaptable to ambiguity, eager to build collaborations with stakeholders and create customer-centric solutions, you will thrive at Presight. A proactive mindset and a passion for exploring new frontiers in AI are key to our community.
What Working At Presight Offers:
- Culture: An open, diverse, and inclusive environment that encourages personal growth and focuses on industry-first innovations.
- Career: Outstanding learning, development, and growth opportunities through structured training programs and high-tech projects.
- Rewards: A competitive remuneration package with various perks, including healthcare, education support, and leave benefits.
