Position: Engineer Artificial Intelligence - Group 42
Overview: Looking for anastute proficient and qualified Engineer Artificial Intelligence toassess analyze and work with data concepts AI usecases &complex new data sources to provide business insights to customersand support the implementation & integration of the datasources into the Presight platform.
Theopportunity To play a critical role in thedevelopment of highperformance AI solutions at Presight.
Presight an ADXlisted public company limited by shares whosemajority shareholder is Abu Dhabi company G42 is the regionsleading big data analytics company powered by Artificial Intelligence (AI). It combines big data analytics and AI expertiseto serve every sector of every scale to create business andpositive societal impact. With its worldclass computer vision AIand omnianalytics platform as its engine Presight excels atallsource data interpretation to support insightdriven decisionmaking that shapes policy and creates safer healthier happier andmore sustainable societies.
Responsibilities:
Key responsibilities Endto End Machine Learning and Deep Learning Model Development:
Lead the fulllifecycle of machine learning projects from initial data gatheringand annotation to deploying models in production. Domain Knowledge in OCRand NLP:
Apply expertise in OCR andNLP including in text classification named entity recognition andsequence labeling. Technical Proficiency: Demonstrate advanced skills in Python programming
PyTorch Huggingface sklearn pandas Docker and REST APIdevelopment. Data Cleaning and Preprocessing: Perform EDA and data preprocessing and cleaning to prepare datasetsfor efficient and effective model training. Model Selection Trainingand Validation:
Develop and trainmachine learning and deep learning models employing SotA techniquesand algorithms. Conduct thorough modelselection processes comparing and evaluating various models todetermine the best fit for specific tasks. Testing Benchmarking and Scaling Models:
Rigorously testmodels under various scenarios to ensure reliability androbustness. Benchmark model performanceagainst industry standards and scale models to handle largescaledata efficiently. Deployment and MLOps: Deploy machine learning models into productionenvironments ensuring seamless integration andfunctionality. Employ MLOps practices forcontinuous integration delivery and model monitoring inproduction. Technical Documentation:
Createcomprehensive documentation for developed models and processesdetailing methodologies codebases and user guides. Ensure clear and understandable documentation for bothtechnical and nontechnical audiences aiding in crossdepartmentalunderstanding and collaboration.
Qualifications:
To qualify youmust have Bachelors or Masters degree in Computer Science Artificial Intelligence or Machine Learnig. 3 years of industryexperience with solid coding skills in Python and experience with Docker REST APIs PyTorch Transformers sklearn and other AI/MLframeworks/libraries. 3 years of experiencein OCR and NLP including in text classification named entityrecognition and sequence labeling. 3 years ofexperience in endtoend machine learning and deep learning modeltraining on both CPU and GPU servers with parallelismexperience Strong problemsolving skills witha focus on practical and scalable solutions.
Excellent communication and collaboration abilities to workeffectively in a team environment. Proactivein staying updated with the latest advancements in machine learningdeep learning and related technologies.
Ideally youll also need
Experience with SQLElasticsearch Cloud Services and PySpark:
Leverage SQL and Elasticsearch for dataquerying and manipulation.
Utilize cloud services and PySpark for distributedcomputing and largescale data processing.
Incremental/Continual ML Model Training:
Implement strategies for continuallearning and model updating to adapt to new data and evolvingrequirements. Expertise in Large Language Models (LLMs) and Generative AI: Develop and apply Large Language Models and Generative AI techniques for innovative solutions andapplications.
What welook for If you are aperformancedriven inquisitive mind with the agility to adapt toambiguity you will fit right in. You should be eager to exploreopportunities to build meaningful collaborations with stakeholdersand aspire to create unique customercentric solutions. Bias foraction and a passion to conquer new frontiers in the AI space is atthe heart of the Presight community.
Whatworking at Presight offers Culture:
An open diverse andinclusive environment with a global vision that encourages personalgrowth and focuses on groundbreaking industryfirst innovations. Career:
Outstanding learning development& growth opportunities via structured training programs andinnovative hightech projects.
Rewards: A competitiveremuneration package with a host of perks including healthcareeducation support leave benefits and more.
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