About the job
Role: Data Scientist (Natural Language Processing & LLM)
Location: Abu Dhabi
About Presight
Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (“AI”). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
The Opportunity:
Are you a qualified and proficient Data Scientist with the proven ability in NLP & LLM? Presight needs your skills to develop and deliver diverse data products across the company—including, but not limited to, recommendation engines, predictive models, business-logic automation and machine learning.
Responsibilities
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Research & Development:
- Design, implement, and evaluate state-of-the-art NLP algorithms and models for various tasks.
- Stay abreast of the latest research advancements in the field and apply them to real-world problems.
- Collaborate with research scientists and engineers to explore new approaches and push the boundaries of NLP.
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Model Development & Deployment:
- Utilize existing AI solutions, pre-trained models (e.g., BERT, GPT), or fine-tune open-source models for specific use cases.
- Package models into docker containers for efficient deployment and scalability.
- Develop REST APIs for seamless integration with other systems.
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Large Language Model (LLM) Fine-Tuning & Prompt Engineering:
- Fine-tune large language models (e.g., GPT-3, T5) for specific tasks and domains.
- Familiarity with LLM application libraries and frameworks (e.g., LangChain, LlamaIndex).
- Hands-on experience with LLM fine-tuning and prompt engineering.
- Develop and refine effective prompt engineering techniques to elicit desired responses from LLMs.
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Business and Team:
- Acquire data from primary or secondary data sources and generate business insights relevant to Presight’s business goals.
- Participate in cross-functional teams to understand business needs and translate them into actionable AI solutions.
Qualifications
Requirements:
- Bachelor's Degree in Artificial Intelligence, Data Science, Machine learning, Computer Science, Mathematics or related field.
- 5+ years of experience in a Data Scientist or Machine Learning Engineer role, with a strong focus on NLP.
- Expert level proficiency in Python.
- Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and libraries (e.g., Hugging Face Transformers).
- Experience in containerizing AI models using tools such as Docker, Kubernetes.
- Must have worked with GPU accelerated training, distributed training, and Building AI services for GPU inference.
- Ability to work with cloud platforms such as AWS, MS Azure (Preferred), or Google Cloud and use their services for complete AI development lifecycle.
- Hands-on experience with LLM fine-tuning and prompt engineering.
- Experience with model optimization, deployment, and monitoring.
Ideally, you’ll also need:
- An insatiable curiosity and a learning mindset that enable you to thrive in a fast-paced and dynamic environment.
- Contributions to open-source projects or publications in top-tier conferences.
- Excellent communication skills.
What we look for:
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.
What working at Presight offers:
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
