AI/ML Intern
Location:
Experience:
Fresher (Internship experience preferred)
Job Type:
Internship
Duration:
3 Months
Department:
AI/ML
Work Mode:
Onsite
Overview:
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.Key Requirements
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 cutting-edge tools including Azure OpenAI, Azure Document Intelligence & Azure AI Search.
How to Apply
Interested candidates can share their resume at kirti@magureinc.com
Apply Now
