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Antilabs

Android App Development Intern

Actively Reviewing

Antilabs

Indore Full-Time Posted 1 month ago  · Apply by Jul 18, 2026

AntiLabs is hiring Machine Learning Interns for a 45-day internship opportunity. This role is suitable for students, freshers, and part-time candidates who want to gain practical exposure to machine learning and work on learning-based technical projects.

The selected candidates will work with the technical team to understand machine learning workflows, build basic ML models, and apply concepts such as supervised and unsupervised learning on practical tasks.

Key Responsibilities
  • Work on basic machine learning models and experiments.
  • Assist in data collection, cleaning, preprocessing, and analysis.
  • Apply supervised and unsupervised learning techniques.
  • Support model training, testing, and evaluation.
  • Work with datasets and generate meaningful insights.
  • Collaborate with the technical team on assigned ML tasks.
  • Document project progress, observations, and results.
Requirements
  • Basic understanding of machine learning concepts.
  • Knowledge of supervised and unsupervised learning.
  • Familiarity with Python is preferred.
  • Basic understanding of NumPy, Pandas, Matplotlib, or Scikit-learn is a plus.
  • Good analytical and problem-solving skills.
  • Willingness to learn and work on practical projects.
Who Can Apply
  • Students pursuing B.Tech, BCA, MCA, B.Sc, M.Sc, or related fields.
  • Freshers interested in AI/ML.
  • Candidates looking for a short-term internship.
  • Part-time candidates who can dedicate time consistently during the internship.
What You Will Gain
  • Practical exposure to machine learning workflows.
  • Experience with real-world datasets and ML concepts.
  • Guidance from the technical team.
  • Internship completion certificate.
  • Opportunity to improve your project portfolio.
Stipend

Selected candidates will receive a stipend ranging from ₹5,000 to ₹20,000 per month, based on skills, performance, and contribution during the internship.

Apply Now

Interested candidates can apply using the registration form below:

Application Form:

  • https://forms.gle/z35h5afitMSwstd59