Data Science Intern

Location:

Duration:

About The Role

Generative AI and Data Science

Key Responsibilities

• Assist in developing and testing AI/ML models for text, image, and predictive analytics use cases.
• Support in data collection, preprocessing, and cleaning.
• Explore generative AI frameworks (e.g., GPT, BERT, DALL·E) under guidance.
• Work with Python libraries like Pandas, NumPy, Matplotlib for data analysis and visualization.
• Collaborate with senior team members in preparing reports, presentations, and model insights.
• Stay curious and explore new trends in AI, ML, and data science.
  

Learning Opportunities

• Exposure to Generative AI frameworks and ML libraries.
• Hands-on experience with Python, R, and data visualization tools.
• Practical knowledge of cloud platforms (AWS, Azure, GCP).
• Opportunity to learn about end-to-end AI model development and deployment.
• Guidance and mentorship from experienced AI & Data Science Engineers.
  

Qualifications

• Bachelor’s/Master’s student or recent graduate in Computer Science, Data Science, AI, Statistics, or related fields.
• Basic knowledge of Python programming and familiarity with ML concepts.
• Enthusiasm to learn Generative AI, ML, and data analytics.
• Strong problem-solving and analytical thinking skills.
  

Preferred Skills (Good To Have)

• Familiarity with ML libraries like TensorFlow, PyTorch, Scikit-learn.
• Knowledge of SQL and basic data visualization.
• Awareness of MLOps or cloud tools is a plus.
  

Soft Skills

• Curiosity and willingness to learn.
• Good communication and collaboration abilities.
• Adaptability to work in a fast-paced environment.
  

Benefits

• Internship certificate on successful completion.
• Mentorship from senior AI & Data Science experts.
• Opportunity to work on live projects and gain industry exposure.
• Potential for pre-placement offer (PPO) based on performance.
  

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