ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTERN

Anovatech Institute Of Crystalline Technology Pvt Ltd
  • Full Time
  • 19-Jun-2025
  • Pan India,asansol,Bangalore,Bhubaneshwar,Chennai,Delhi,Durgapur,Howrah,Hyderabad,Kolkata,Mumbai,Ranchi,
  • Start date
    Immediately
  • Duration
    2 Months
  • Stipend
    ₹3000 /month
  • No of Credits
    10
  • Apply by
    31-Jul-2025
  • Full Time

About the program

Internship Description: We are seeking enthusiastic and passionate interns to work on real time projects in Artificial Intelligence and Machine Learning. This internship provides exposure to the end to end ML pipeline including data collection, preprocessing, modeling, and deployment. Key Responsibilities: Assist in collecting, cleaning, and analyzing data for AIML projects Build, train, and evaluate ML models using Python and libraries such as Tensor Flow, Scikit learn, and PyTorch Conduct literature research and apply state of the art algorithms Collaborate with senior data scientists and engineers Prepare reports and presentations for project outcomes Required Skills: Strong knowledge of Python programming Basic understanding of machine learning concepts Familiarity with libraries like NumPy, Pandas, Scikit learn Good communication and analytical skills Prior exposure to any AIML project academic or personal is a plus Eligibility: Students pursuing BCA,MCA, B.Tech, B.E., M.Tech, M.Sc. in Computer Science, AI, Data Science, or any other fields also can apply Final year students or recent graduates preferred

Perks

Internship Certificate Letter of Recommendation based on performance Real-time project exposure Flexible work hours Opportunity to get hired for a full time role Whatsapp number for enquiry 8637834758

Who can apply?

Only those candidates can apply who:

  1. are from Any
  2. and specialisation from Any
  3. are available for duration of 2 Months
  4. have relevant skills and interests

Terms of Engagement

Interns must have their own laptops and internet connection Commitment to meet deadlines and deliverables Weekly progress updates through virtual meetings

Number of openings

2