AI Data Engineer

Karbon Digital; Toronto; Remote; CAD 80,000 - 100,000; Full time

Job summary

Karbon Digital is seeking an AI Engineering Intern for a 4 to 6-month remote internship. This role offers the opportunity to design and optimize AI solutions, gain mentorship from industry professionals, and contribute to impactful projects across various sectors such as health and finance. Candidates should be pursuing a degree in Computer Science or related fields and possess skills in Python, machine learning, and data analysis. Join us to enhance your technical expertise and potentially transition into a full-time role.

Benefits

Flexible remote work

Direct mentorship

Exposure to industry projects

Potential full-time role

Qualifications

• Currently pursuing or recently completed a degree relevant to AI.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a remote team environment.

Responsibilities

• Design, train, and optimize AI and machine learning models.
• Implement advanced algorithms in NLP, computer vision, and predictive analytics.
• Collaborate with teams to integrate AI solutions into software.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Data analysis (Pandas, NumPy)

Data visualization (Matplotlib, Seaborn)

Cloud platforms (AWS, Google Cloud, Azure)

Education

Degree in Computer Science, Data Science, or Artificial Intelligence

Job description

Role Overview

We are looking for a passionate and motivated AI Engineering Intern to join our team for a 4 to 6-month internship. As an intern, you will gain hands-on experience in developing, deploying, and optimizing AI solutions for real-world applications. This role provides an excellent platform to enhance your technical expertise, collaborate with experienced professionals, and contribute to impactful projects in industries such as health, finance, logistics, and more.

Key Responsibilities

• Design, train, and fine-tune machine learning and AI models for various use cases.
  
• Conduct data cleaning, preprocessing, and feature engineering to support model development.
  
• Research and implement advanced algorithms in fields like natural language processing (NLP), computer vision, and predictive analytics.
  
• Collaborate with cross-functional teams to integrate AI models into larger software ecosystems.
  
• Optimize models for performance, scalability, and accuracy, ensuring their robustness in production.
  
• Document workflows, research, and project outcomes for internal knowledge sharing.
  
• Stay abreast of the latest AI technologies, frameworks, and industry trends.
  
  
  
  

Requirements

Qualifications

• Education:
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
    
• Technical Skills:
  • Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn.
    
  • Understanding of machine learning algorithms and principles.
    
  • Experience with data analysis tools (e.g., Pandas, NumPy) and visualization libraries (e.g., Matplotlib, Seaborn).
    
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure is a bonus.
    
• Other Requirements:
  • Strong analytical and problem-solving skills.
    
  • Ability to work effectively in a remote team environment.
    
  • Strong communication skills for presenting ideas and findings.
    
  
  
  
  

Benefits

What We Offer

• A fully remote internship, providing flexibility to work from anywhere in Canada.
  
• Direct mentorship from experienced AI professionals.
  
• Exposure to real-world, industry-specific AI projects.
  
• Opportunity to contribute to meaningful, cutting-edge solutions.
  
• Potential for a full-time role upon successful completion of the internship.
  

About Us:
Karbon Digital Limited is a Toronto-based leader in AI innovation, offering cutting-edge products and consulting services to industries such as healthcare, finance, retail, and logistics. Our mission is to help businesses unlock the full potential of AI, cloud, and data engineering technologies to solve real-world challenges and drive transformation. Join us and lead the delivery of transformative AI solutions.