Research Scientist Intern (AI/ML)

0 - 4 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a highly motivated Research Scientist Intern joining our AI/ML research team, you will contribute to cutting-edge research in machine learning, deep learning, natural language processing, or computer vision. Your role will involve designing and implementing novel algorithms, experimenting with state-of-the-art models, analyzing results, collaborating with the team, preparing technical reports, and staying updated with the latest research trends. Key Responsibilities: - Conduct original research in AI/ML and implement novel algorithms - Experiment with and evaluate state-of-the-art models on benchmark datasets - Analyze and interpret experimental results to drive improvements - Collaborate with research scientists and engineers to translate findings into product features - Prepare technical reports and contribute to research papers or patents - Stay up-to-date with the latest research trends and breakthroughs in AI/ML Qualifications: Required: - Currently pursuing or recently completed a degree in Computer Science, Electrical Engineering, Mathematics, or a related field - Strong foundation in machine learning fundamentals and mathematical concepts - Experience with ML frameworks such as TensorFlow, PyTorch, or JAX - Proficiency in Python and relevant scientific computing libraries - Ability to read and implement research papers - Good problem-solving skills and independent thinking Preferred: - Experience with deep learning architectures - Familiarity with natural language processing, computer vision, or reinforcement learning - Published or working towards publishing in AI/ML conferences - Familiarity with distributed computing or cloud platforms You will gain: - Hands-on experience in AI/ML research at a cutting-edge lab/company - Opportunity to work alongside leading scientists and engineers - Exposure to publishing research and presenting at conferences - Mentorship and professional development in the AI field,

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