Engineer – Artificial Intelligence

Overview

Looking for an astute, proficient, and qualified Engineer - Artificial Intelligence to assess, analyze and work with data concepts, AI use-cases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the Presight platform.

To play a critical role in the development of high-performance AI solutions sight, 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 excels at all-source data interpretation to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.

• End-to-End Machine Learning and Deep Learning Model Development: Lead the full lifecycle of machine learning projects, from initial data gathering and annotation to deploying models in production.
• Domain Knowledge in OCR and NLP: Apply expertise in OCR and NLP, including in text classification, named entity recognition, and sequence labeling.
• Technical Proficiency: Demonstrate advanced skills in Python programming, PyTorch, Huggingface, sklearn, pandas, Docker, and REST API development.
• Data Cleaning and Preprocessing: Perform EDA and data preprocessing and cleaning to prepare datasets for efficient and effective model training.
• Model Selection, Training, and Validation: Develop and train machine learning and 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.
• Deployment and MLOps: Deploy machine learning models into production environments, ensuring seamless integration and functionality. Employ MLOps practices for continuous integration, delivery, and model monitoring in production.
• Technical Documentation: Create comprehensive documentation for developed models and processes, detailing methodologies, codebases, and user guides. Ensure clear and understandable documentation for both technical and non-technical audiences, aiding in cross-departmental understanding and collaboration.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or Machine Learning.
• 3+ years of industry experience with solid coding skills in Python
  , and experience with Docker
  , REST APIs
  , Py Torch ,
  Transformers
  , sklearn
  , and other AI/ML frameworks/libraries.
• 3+ years of experience in OCR and NLP
  , including in text classification, named entity recognition, and sequence labeling.
• 3+ years of experience in end-to-end machine learning and deep learning model training on both CPU and GPU servers with parallelism experience.
• Strong problem-solving skills with a focus on practical and scalable solutions.
• Excellent communication and collaboration abilities to work effectively in a team environment.
• Proactive in staying updated with the latest advancements in machine learning, deep learning, and related technologies.

• Experience with SQL, Elasticsearch, Cloud Services, and PySpark: Leverage SQL and Elasticsearch for data querying and manipulation. Utilize cloud services and Py Spark for distributed computing and large-scale data processing.
• Incremental/Continual ML Model Training: Implement strategies for continual learning and model updating to adapt to new data and evolving requirements.
• Expertise in Large Language Models (LLMs) and Generative AI: Develop and apply Large Language Models and Generative AI techniques for innovative solutions and applications.

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