Magure

AI/ML Intern

Raipur & MangaloreInternshipAI/MLFresher (internship experience preferred)Duration: 3 monthsOnsite

At Magure, we believe in nurturing talent and fostering a culture of innovation. As an AI/ML Intern, you will gain hands-on experience in real-world projects, contributing to the development of AI-driven applications. This role offers a unique opportunity to apply machine learning principles and work alongside experienced ML/AI developers.

If you have a passion for AI and a strong foundation in programming, we'd love to have you on our team!

Roles & Responsibilities

Data collection & preprocessing

  • Assist in gathering, cleaning, and preparing data for machine learning models.
  • Collaborate with the team to preprocess data and create structured datasets.

Model development & testing

  • Contribute to developing machine learning models under the guidance of senior developers.
  • Help with training, testing, and validating models to improve accuracy and performance.

Algorithm research

  • Conduct research on various ML/AI algorithms and suggest potential improvements.
  • Stay updated with recent advancements in ML/AI to contribute fresh ideas to ongoing projects.
  • Use Azure-based tools like Azure Document Intelligence, Azure AI Search, and Azure OpenAI.

Documentation & reporting

  • Maintain documentation of development processes and model performance.
  • Prepare reports summarizing results, findings, and insights for team review.

Continuous learning

  • Participate in internal training sessions and team discussions to learn about ML/AI tools and best practices.
  • Practice and enhance ML/AI skills by working on minor tasks and self-driven projects.

Education & Skills

Bachelor's or master's in computer science, Data Science, AI.

Required skills

  • Basic knowledge of ML algorithms and principles.
  • Proficiency in Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Understanding of data processing and analysis.
  • Strong communication skills and eagerness to learn.

PPO Criteria

Pre-Placement Offer (PPO) eligibility will be evaluated based on overall performance throughout the internship. Key parameters include:

  • Quality of work and contributions to live projects
  • Problem-solving ability and initiative
  • Team collaboration and communication
  • Consistency and ownership of assigned tasks

Why Join Magure?

  • Gain hands-on experience in the ML/AI field with real-world projects.
  • Collaborative work environment with mentorship from experienced professionals.
  • Opportunity to work on impactful, AI-driven products and grow your skills.
  • Stipend provided with opportunity for full-time placement (PPO) upon successful completion.
  • Exposure to advanced tools including Azure OpenAI, Azure Document Intelligence & Azure AI Search.

Interested candidates can also share their resume at careers@magureinc.com.

Apply for AI/ML Intern

The application takes a few minutes: your details, your CV, and a short note on why this role.

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