Job Description

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.
  

Requirements

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.
  

Benefits

• Hands-on experience in AI research and development projects with real-world applications.
  
• Mentorship from experienced AI researchers and industry professionals.
  
• Access to cutting-edge tools and resources to conduct innovative experiments.
  
• Opportunities to attend AI conferences, workshops, and networking events.
  
• A collaborative, innovative, and inclusive work environment in the vibrant tech ecosystem