TalentAQ

TalentAQ

AI & Machine Learning Engineer

EngineeringInternshipFresherRemote

Required Skills
6 skills

Machine Learning
Python
TensorFlow
PyTorch
Data Science
AI

Job Description

GAO Tek Inc. is seeking motivated AI & Machine Learning Engineers to join our dynamic tech team. Youll design, develop, and deploy intelligent algorithms and support AI innovations across real-world platforms. Key Responsibilities: Design and implement machine learning modelsWork with large datasets for training and optimizationIntegrate AI into enterprise solutions alongside development teamsExplore and apply state-of-the-art AI/ML research Qualifications: Pursuing or completed a degree in Computer Science, Data Science, AI, or related fieldsStrong grasp of ML concepts, Python, TensorFlow/PyTorchPrior AI project or internship experience is a plusStrong problem-solving and communication skills. Why Join GAO AI Incubator? Collaborate with global enterprise and cross-disciplinary teamsAccess large-scale datasets and tackle real-world problemsBuild deployable, production-grade AI prototypesFlexible remote/hybrid/onsite engagement optionsPotential pathways to full-time roles or startup support for top performers
GAO Tek Inc. is seeking motivated AI & Machine Learning Engineers to join our dynamic tech team. Youll design, develop, and deploy intelligent algorithms and support AI innovations across real-world platforms. Key Responsibilities: Design and implement machine learning modelsWork with large datasets for training and optimizationIntegrate AI into enterprise solutions alongside development teamsExplore and apply state-of-the-art AI/ML research Qualifications: Pursuing or completed a degree in Computer Science, Data Science, AI, or related fieldsStrong grasp of ML concepts, Python, TensorFlow/PyTorchPrior AI project or internship experience is a plusStrong problem-solving and communication skills. Why Join GAO AI Incubator? Collaborate with global enterprise and cross-disciplinary teamsAccess large-scale datasets and tackle real-world problemsBuild deployable, production-grade AI prototypesFlexible remote/hybrid/onsite engagement optionsPotential pathways to full-time roles or startup support for top performers

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