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AI Research Intern
Karbon Digital
Remote, CAN
Internship, Full Time
Entry · 0+ years experience
Remote
Discovered 3 weeks ago
TensorFlowPyTorchScikit-learnPythonRJulia
Free
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TensorFlowPyTorchScikit-learnPythonRJulia
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Responsibilities
- Conduct research on state-of-the-art AI algorithms and technologies, including machine learning, deep learning, and natural language processing (NLP).
- Design, implement, and optimize prototypes for AI-based solutions.
- Analyze datasets and develop models to solve business-specic challenges across various industries.
- Collaborate with the engineering team to integrate research findings into real-world applications.
- Document research outcomes, experiments, and methodologies for both internal and external use.
- Stay current with advancements in AI and machine learning technologies, attending seminars or workshops as necessary.
- Contribute to writing research papers or whitepapers showcasing the findings and innovations of Karbon Digital.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong foundation in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages such as Python, R, or Julia.
- Knowledge of statistical analysis, data modeling, and algorithm design.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is an asset.
- Excellent problem-solving skills and a curiosity-driven approach to research.
- Strong verbal and written communication skills to present complex ideas clearly.
- A passion for exploring the potential of AI to address real-world problems.
What We Offer
- Hands-on experience in AI research and development projects with real-world applications.
- Mentorship from experienced AI researchers and industry professionals.
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