About Comprinno

Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.
Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.
As an AWS Advanced Consulting Partner, Comprinno helps organizations migrate, modernize, secure, and operate cloud environments while adopting emerging technologies such as Generative AI and Agentic AI.


About the Internship

We are looking for passionate and intellectually curious Data Science Interns who are eager to explore Data Science, Machine Learning, Artificial Intelligence, and Generative AI.
As a Data Science Intern, you will work alongside experienced Data Scientists, AI Engineers, Solution Architects, and Product Teams to solve real-world business problems using data-driven approaches. You will gain hands-on exposure to machine learning, predictive analytics, Generative AI, Prompt Engineering, and intelligent automation systems.
This internship is ideal for students who aspire to build careers in Data Science, AI Engineering, Machine Learning, Applied AI, or GenAI Solution Development.


Learning Areas & Responsibilities

Data Analysis & Business Insights

  • Collect, clean, preprocess, and validate datasets from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
  • Create data visualizations and reports that support business decision-making.
  • Assist in preparing datasets for machine learning and AI applications.

Machine Learning & Predictive Analytics

  • Support development and testing of machine learning models for:
    • Classification
    • Regression
    • Forecasting
    • Recommendation Systems
    • Natural Language Processing (NLP)
  • Evaluate model performance and assist in optimization activities.
  • Participate in feature engineering and model experimentation.

Generative AI & Applied AI

  • Explore and experiment with Large Language Models (LLMs).
  • Assist in building GenAI-powered solutions and AI assistants.
  • Work with Retrieval-Augmented Generation (RAG) concepts and AI workflows.
  • Support development of intelligent applications leveraging modern AI platforms.

Prompt Engineering

  • Design, test, and optimize prompts for Large Language Models.
  • Evaluate prompt effectiveness and improve output quality.
  • Experiment with prompt structures, context engineering, and reasoning techniques.
  • Assist in building reusable prompt libraries and AI interaction patterns.
  • Learn how prompt engineering impacts business outcomes and AI application performance.

Data Visualization & Communication

  • Create dashboards and visualizations that communicate insights effectively.
  • Present findings and recommendations clearly to technical and non-technical audiences.
  • Support customer-facing analytics and reporting initiatives.

Research & Innovation

  • Explore emerging technologies, frameworks, and AI methodologies.
  • Participate in prototyping and proof-of-concept initiatives.
  • Document experiments, results, and learnings to ensure reproducibility and knowledge sharing.
  • Contribute ideas that improve products, services, and customer outcomes.

Required Qualifications & Skills

  • Recently completed :
    • B.Tech
    • M.Tech
    • B.E.
    • M.E.
    • in Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or related disciplines.
  • Strong programming skills in Python.
  • Familiarity with:
    • Pandas
    • NumPy
    • Scikit-Learn
  • Basic understanding of:
    • Statistics
    • Machine Learning Concepts
    • Data Analysis
    • Model Evaluation Techniques
  • Familiarity with SQL and data handling concepts.
  • Exposure to Generative AI frameworks and platforms:
    • LangChain
    • LangGraph
    • Hugging Face
    • OpenAI APIs
    • Anthropic APIs
  • Strong analytical and problem-solving abilities.
  • Good communication and presentation skills.
  • Curiosity to learn and experiment with AI and emerging technologies.

Desired Qualifications & Skills

  • Exposure to AWS AI/ML services such as:
    • Amazon SageMaker
    • Amazon Bedrock
    • Amazon Comprehend
  • Familiarity with deep learning frameworks such as:
    • TensorFlow
    • PyTorch
  • Understanding of Prompt Engineering concepts.
  • Experience with data visualization tools such as:
    • Matplotlib
    • Seaborn
    • Power BI
    • Tableau
  • Participation in:
    • Kaggle Competitions
    • Hackathons
    • Research Projects
    • Open Source Contributions
  • Familiarity with Git and collaborative development workflows.

What We're Looking For

  • Strong analytical thinking and curiosity.
  • Passion for Data Science, AI, and solving real-world problems.
  • Excellent problem-solving and reasoning abilities.
  • Strong communication and storytelling skills.
  • Ability to learn quickly and adapt to new technologies.
  • Ownership mindset and attention to detail.
  • Collaborative team player with a growth mindset.

What Success Looks Like

  • Successfully contributes to real-world data science and AI initiatives.
  • Demonstrates strong understanding of data analysis and machine learning fundamentals.
  • Builds proficiency in GenAI, Prompt Engineering, and AI application development.
  • Delivers meaningful insights through data analysis and visualization.
  • Effectively collaborates with engineering, product, and customer-facing teams.
  • Demonstrates continuous learning, experimentation, and technical growth.
  • Becomes deployment-ready for a Data Scientist, AI Engineer, or Applied AI Engineer role.

Why Join Comprinno

  • Work at the forefront of Cloud, AI, GenAI, and Agentic AI innovation.
  • Gain hands-on experience in a cloud-native, real-world Data Science environment.
  • Learn directly from experienced AI practitioners, architects, and technology leaders.
  • Contribute to production-grade AI and analytics use cases with real business impact.
  • Build expertise in Machine Learning, GenAI, Prompt Engineering, and Applied AI.
  • Access AWS learning resources, certifications, and mentorship opportunities.
  • Work on innovative solutions including Tevico and future AI-powered products.
  • Potential pathway to a full-time role based on performance.
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