Engineer - Artificial Intelligence - G42
2 months ago
The Company Presight an ADXlistedpublic company limited by shares whose majority shareholder is AbuDhabi company G42 is the regions leading big data analytics companypowered by Artificial Intelligence (AI). It combines big dataanalytics and AI expertise to serve every sector of every scale tocreate business and positive societal impact. With its worldclasscomputer vision AI and omnianalytics platform as its enginePresight excels at allsource data interpretation to supportinsightdriven decision making that shapes policy and creates saferhealthier happier and more sustainable societies. Responsibilities:
Responsibilities
- Algorithm Development: Design develop and optimizecomputer vision algorithms and models for various surveillanceapplications including object detection tracking activityrecognition and anomaly detection.
- Data Analysis: Collect preprocess and analyze largedatasets to train and evaluate computer vision models. Ensure dataquality and relevance for modelaccuracy.
- Model Training:Implement and finetune deep learning models using frameworks suchas TensorFlow PyTorch or Keras. Apply techniques such as transferlearning and domain adaptation to enhance modelperformance.
- SystemIntegration: Integrate AI models into realtimesurveillance systems and ensure their seamless operation withinexisting infrastructure. Collaborate with software engineers todeploy models effectively.
- Performance Optimization: Monitor and optimize theperformance of computer vision systems including processing speedaccuracy and resource utilization. Identify and resolve issuesrelated to model performance.
- Research and Development: Stay uptodate with the latestadvancements in computer vision and AI. Propose and implementinnovative solutions to improve surveillance capabilities andaddress emerging challenges.
- Documentation and Reporting: Document model developmentprocesses methodologies and results. Prepare reports andpresentations for internal and externalstakeholders.
- Collaboration: Work closely with crossfunctional teamsincluding data scientists software engineers and project managersto ensure successful project and delivery.
Qualifications:
- Education: Bachelors or Masters degree in ComputerScience Electrical Engineering Applied Mathematics or a relatedfield. Advanced degrees are a plus.
- Experience: Proven experience in developing and deployingcomputer vision algorithms and models for surveillance or relatedapplications. Demonstrated expertise with relevant tools andframeworks.
- TechnicalSkills:
- Proficiency inprogramming languages such as Python C orJava.
- Strong knowledge of computer visionlibraries and frameworks (e.g. OpenCV DlibTensorRT).
- Experience with deep learningframeworks (e.g. TensorFlowPyTorch).
- Familiarity with cloud platforms(e.g. AWS Azure Google Cloud) for deploying and scalingmodels.
- AnalyticalSkills: Strong problemsolving abilities and a solidunderstanding of machine learning principles and computer visiontechniques.
- CommunicationSkills: Excellent written and verbal communicationskills. Ability to explain complex technical concepts tonontechnical stakeholders.
- TeamPlayer: Ability to work collaboratively in a fastpacedenvironment and contribute effectively to teamobjectives.
PreferredQualifications:
- Experiencewith surveillancespecific applications such as facial recognitionlicense plate recognition or behavioranalysis.
- Knowledge of data privacy andsecurity considerations related to surveillancesystems.
- Experience with edge computing andrealtime processingconstraints.
What we look 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 Big DataAnalytics space is at the heart of the Presightcommunity.
What working at Presightoffers:
Culture: An open diverse and inclusiveenvironment with a global vision that encourages personal growthand focuses on groundbreaking industryfirst innovations.
Career: Outstanding learning development & growthopportunities via structured training programs and innovativehightech projects.
Rewards: A competitive remunerationpackage with a host of perks including healthcare education supportleave benefits andmore.
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