Artificial Intelligence and Cloud Computing Professional Intern

5 days ago


Canada Refonte Learning Full time
About Refonte Learning

Refonte Learning is a global leader in IT, renowned for delivering high-quality IT and EdTech solutions. Our expertise spans Artificial Intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development.

We are committed to fostering innovation, supporting excellence, and nurturing talent worldwide. Discover more about our company at our website.

Program Overview

Our AI & Data Science Study and Internship Program offers a unique opportunity to gain hands-on experience in AI, Data Science, DevOps, and Cloud technologies. You will work on meaningful projects, helping to develop groundbreaking solutions.

This comprehensive program allows participants to collaborate closely with our AI and data science experts on diverse, impactful projects. Our RIGTIP (Refonte Infini Global Training & Internship Program) is structured to deliver foundational to advanced AI & Data Science learning, along with real-world project experience across multiple global regions.

Job Description

As an intern specializing in AI, Data Science, DevOps, and Cloud, you will have the unique opportunity to explore these integrated fields by working on innovative projects. You will gain practical experience, collaborate with a team of skilled professionals, and apply advanced techniques to real-world scenarios.

  • Work with cross-functional teams to create, deploy, and manage AI-driven solutions.
  • Support data gathering, cleansing, and analysis efforts to provide actionable insights.
  • Aid in building scalable data pipelines for model training and deployment.
  • Help integrate machine learning models into production systems, utilizing DevOps methodologies.
  • Contribute to the design and enhancement of CI/CD pipelines for seamless AI application deployment on cloud platforms.
  • Assist with cloud infrastructure setup, configuration, and monitoring using AWS, Azure, or Google Cloud.
  • Translate business needs into technical solutions in collaboration with data scientists and engineers.
  • Investigate emerging trends and tools in AI, Data Science, DevOps, and Cloud.
  • Contribute to documentation, ensuring knowledge sharing and adherence to best practices.
Exciting Projects You'll Tackle

You will work on a variety of exciting projects, including:

  • Multi-Cloud AI Infrastructure: Configure, automate, and deploy AI infrastructure across multiple cloud platforms.
  • Full Stack AI DevOps & Development: Engage in end-to-end AI DevOps and development processes.
  • Generative AI & LLM Models: Work with advanced AI models to process inputs like text, images, audio, and video, generating transformative outputs.
  • Financial Fraud Detection: Develop models to detect and prevent financial fraud.
  • Personalized Recommender Systems: Build recommendation engines to elevate user experiences.
  • Sentiment Analysis: Derive insights from text data to enhance customer sentiment understanding.
  • Intelligent Chatbots: Design and develop AI-powered chatbots for enhanced user interaction.
  • Multimedia Classification: Work on classifying images, audio, and video for various applications.
  • Text Analytics: Apply sophisticated text analysis techniques to reveal hidden patterns in data.
What We're Looking For

We are looking for individuals who are:

  • Enrolled in a degree program with a commitment to continuous learning and skill growth.
  • Strong communicators, essential for collaboration and presenting complex ideas clearly.
  • Collaborative team players with adaptability, able to work independently as needed.
Benefits

This internship provides the chance to immerse yourself in AI, Data Science, DevOps, and Cloud technologies while working on meaningful projects. Join us if you're passionate about technology, eager to develop new skills, and excited to make a difference.

Additional Details

This is an unpaid, remote AI & Data Science Study and Internship Program. Following your application, our team will guide you through the application and onboarding process. The internship is located remotely, based in Canada.



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