Senior Data Scientist

Overview

Job Description: Senior Data Scientist

Location: Abu Dhabi

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The Opportunity

Are you a qualified and proficient Senior Data Scientist with the proven ability to drive business growth & operational efficiency? Presight needs your skills to develop and deliver diverse data products across the company—including, but not limited to, predictive models, and machine learning.

Responsibilities

Key Responsibilities:

• End-to-End Machine Learning and Deep Learning Model Development:
• From initial data gathering, EDA, basic data cleaning, annotation to deploying models in production.
  
  

• Domain Knowledge in one of NLP/Audio/CV:
• Apply expertise in NLP, including in text classification, named entity recognition, and sequence labeling. Preferably to have experience of LLM, including quantitation, fine-tuning.
• Apply expertise in Audio, including in Audio Classification, ASR. Preferably to have experience of Transformer based model trainning.
• Apply expertise in Computer Vision, including object detection, segmentation, tracking. Preferably to have experience of Vision Language Model.
  
  

• Technical Proficiency:
• Demonstrate advanced skills in Python programming, PyTorch, sklearn, pandas, Docker, and REST API development.
  
  

• Model Selection, Training, and Validation:
• Develop and train machine learning or deep learning models, employing SOTA techniques and algorithms.
• Conduct thorough model selection processes, comparing and evaluating various models to determine the best fit for specific tasks.
  
  

Testing, Benchmarking, and Scaling Models:

• Rigorously test models under various scenarios to ensure reliability and robustness.
• Benchmark model performance against industry standards and scale models to handle large-scale data efficiently.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
  
  

Requirements

Qualifications

• Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
• 5+ years of experience in end-to-end machine learning and deep learning model training on GPU servers with parallelism experience. Preferable to have experience working on AMD GPU.
  
  

Ideally, you’ll also need

• A commitment to research
• A highly data-focused and investigative approach to problem-solving
• In-depth domain and market knowledge
• 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.