About the Internship
๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ:Collect, clean, and preprocess data from various sources
Conduct exploratory data analysis (EDA) and generate actionable insights
Build and validate machine learning models using supervised/unsupervised techniques
Design and fine-tune chatbots and virtual agents using LLMs (e.g., GPT, Claude, etc.)
Experiment with prompt engineering and model interaction for task automation and intelligent responses
Contribute to building agent-based architectures for complex workflows and decision support
Assist in computer vision tasks such as object detection, classification, and gauge reading using models like YOLO or Mask R-CNN
Collect, annotate, and preprocess image datasets for model training and validation
Analyze and visualize structured and unstructured data to derive actionable insights
Support model evaluation, optimization, and deployment for both NLP and vision tasks
Collaborate with cross-functional teams, including product, engineering, and design, to integrate models into real-world applications
๐๐๐ช๐ฎ๐ข๐ซ๐๐ ๐๐ฎ๐๐ฅ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ:
Pursuing or recently completed a Bachelorโs or Masterโs in Data Science, Computer Science, Statistics, Mathematics, or related field
Familiarity with Python and libraries such as pandas, NumPy, scikit-learn, matplotlib
Understanding of statistics and machine learning fundamentals
Strong problem-solving and analytical thinking skills
Good communication and presentation abilities
Preferred Qualifications (Bonus):
Experience with SQL or NoSQL databases
Exposure to cloud platforms (AWS, GCP, or Azure)
Familiarity with deep learning frameworks (TensorFlow, PyTorch)
Prior internship or project experience in data science
๐๐ก๐๐ญ ๐๐จ๐ฎโ๐ฅ๐ฅ ๐๐๐ข๐ง:
Real-world experience working on data-driven projects
Mentorship from experienced data scientists
Exposure to the end-to-end data science lifecycle
A chance to contribute to meaningful and impactful work
Number of Openings
3 openingsPerks of this Internship
Certificate 5 days a week
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 19th Sep'25 and 24th Oct'25
4. are available for duration of 4 months
5. have already graduated or are currently in any year of study
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