Dubai - Onsite - AI AND MACHINE LEARNING ENGINEER - K20S Kinetic Technologies Private Limited

Description

Job Title: AI AND MACHINELEARNINGENGINEERLocation:Dubai(Onsite)Experience:5 yearsContractDuration: 1 yearAge: 38 45yrs
CompanyOverview:K20S KineticTechnologies Private Limited is a leading technology companyoperating in the AI and machine learning industry. We are committedto developing innovative solutions that have a significant impacton varioussectors.
Roleand Responsibilities:We arelooking for an experienced AI and Machine Learning Engineer to joinour team in Dubai onsite. The ideal candidate will be responsiblefor developing and implementing cuttingedge machine learningalgorithms and computer vision techniques. Key responsibilitiesinclude:

• Developing and implementingmachine learning algorithms and computer vision techniques to solvecomplex problems.
• Utilizing OpenCV and imageprocessing techniques to preprocess and analyze image and videodata.
• Understanding analyzing and implementingdifferent machine learning algorithms for tasks such as objectdetection classification andsegmentation.
• Demonstrating expertise in YOLOvision transformers and convolutional neural networks (CNNs) forcomputer vision tasks.
• Deploying full pipelinesusing Triton and Deep Stream for efficient and scalableinference.
• Leveraging familiarity with largelanguage models (LLMs) to enhance computer vision models andsystems.
• Conducting independent research tostay uptodate with the latest advancements in the field of computervision and machine learning.
• Proposinginnovative solutions and exploring various opensource libraries onGitHub to accelerate developmentprocesses.
• Collaborating with crossfunctionalteams to drive successful projectoutcomes.
• Conducting experiments performingmodel evaluations and iterating on designs to improve the accuracyand performance of computer visionsystems.
• Documenting and presenting researchfindings methodologies and implementation details to both technicaland nontechnicalstakeholders.

CandidateQualifications:The idealcandidate should hold a Bachelors or masters degree in computerscience electrical engineering data science or a related field.They should also have proven experience as a Machine LearningEngineer or similar role with a focus on computervision.
RequiredSkills:

• Strongproficiency in OpenCV and image processingtechniques.
• Indepth knowledge and practicalexperience with machine learning algorithms andframeworks.
• Expertise in YOLO visiontransformers and convolutional neural networks (CNNs) for computervision tasks.
• Experience deploying models usingTriton and Deep Stream.
• Familiarity with largelanguage models (LLMs) and their applications in computervision.

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