Laboratory Technologist

4 weeks ago

Sharjah, United Arab Emirates University Hospital Sharjah Full time

AtAristocrat, We are on a mission to find the best talent potentialindividuals in thirst for innovation & Knowledgeevolution.

Careerin Aristocrat Involves remote modality and several cutting edgestipend linked corporate certification in house programs.


Sendyou CV to(WhatsApp)

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The Neural Network Engineer will be responsible fordesigning and developing neural networks and deep learning modelsto solve complex problems in various fields. The engineer will workwith a team of data scientists, software engineers, andstakeholders to identify opportunities for neural networkapplications, and will collaborate to design, develop, and deploysolutions. The position may involve working on multiple projectssimultaneously, and may require some level of creativity andinnovation in neural networkdevelopment.

Responsibilities:

  • Collaboratewith stakeholders to identify opportunities for neural networkapplications and develop solutions to solve complexproblems.
  • Designand develop neural networks and deep learning models, includingdata preprocessing, model architecture, model training, andevaluation.
  • Optimizeand fine-tune neural network models to improve performance andefficiency.
  • Workwith a team of data scientists, software engineers, andstakeholders to integrate neural network solutions into softwaresystems and ensure successfuldeployment.
  • Analyzeand interpret data to evaluate neural network performance andidentify areas forimprovement.
  • Staycurrent on trends and advancements in neural networks and relatedtechnologies.


Requirements
  • Bachelorsdegree or higher in Computer Science, Mathematics, or a relatedfield.
  • Strongprogramming skills in languages such as Python, Java, orC++.
  • Experiencein neural network development, with a focus on deep learning andrelated techniques such as convolutional neural networks, recurrentneural networks, or generative adversarialnetworks.
  • Familiaritywith deep learning libraries and frameworks such as TensorFlow,PyTorch, orKeras.
  • Knowledgeof statistics, linear algebra, and probabilitytheory.
  • Experiencewith data preprocessing, model architecture, model training, andevaluation.
  • Familiaritywith software development tools andmethodologies.
  • Stronganalytical and problem-solvingskills.
  • Excellentcommunication and teamworkskills.


Benefits

ExtremeLearning and trainingenvironment.

Continuousgrowth every 3 months financially & inResponsibilities.

Compensationbased on contributionvalue.



Neural Network, Deep Learning, Convolutional Neural Networks,Recurrent Neural Networks, Generative Adversarial Networks,TensorFlow, PyTorch, Keras, Statistics, Linear Algebra, ProbabilityTheory, Data Preprocessing

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