MACHINE LEARNING

MINDSEEKERS TECHNOLOGIES PRIVATE LIMITED
  • Full Time
  • 01-Apr-2026
  • Pan India,
  • Start date
    Immediately
  • Duration
    6 Months
  • Stipend
    ₹10000 /month
  • No of Credits
    10
  • Apply by
    01-Oct-2026
  • Full Time

About the program

We are looking for enthusiastic and passionate students who are interested in building their career in Machine Learning and Artificial Intelligence. This internship will provide handson experience in realworld projects, exposure to industry practices, and mentorship from experienced professionals. Roles Responsibilities: Assist in developing Machine Learning models and algorithms Work on data preprocessing, cleaning, and visualization Implement supervised and unsupervised learning techniques Participate in project discussions and team meetings Perform model evaluation and optimization Document project workflows and results Skills Required: Basic knowledge of Python Understanding of Machine Learning concepts Familiarity with libraries like NumPy, Pandas, Scikitlearn Basic knowledge of data analysis and statistics Good problemsolving skills Knowledge of Deep Learning optional but preferred Who Can Apply: Students pursuing B.Tech M.Tech BCA MCA B.Sc M.Sc CSIT Candidates with interest in AI Machine Learning Available for the full internship duration Basic programming knowledge required Perks Benefits: Internship Completion Certificate Letter of Recommendation Performancebased Handson Live Project Experience Mentorship Career Guidance Opportunity for PPO Performancebased Selection Process: Resume Screening Basic Technical Assessment HRTechnical Interview

Perks

Internship Completion Certificate Letter of Recommendation (Performance-based) Hands-on Live Project Experience Mentorship & Career Guidance Opportunity for PPO (Performance-based)

Who can apply?

Only those candidates can apply who:

  1. are from B.Tech. / B.E./ Equivalent
  2. and specialisation from Computer Science and information Technology
  3. are available for duration of 6 Months
  4. have relevant skills and interests

Terms of Engagement

Full Time

Number of openings

60