AI & Machine Learning Intern

About Costipro Technologies – BONC Network

Costipro Technologies Private Limited powers BONC Network (“Business On The Cloud”), a B2B digital networking, discovery, and business ecosystem platform. BONC Network enables businesses, MSMEs, and enterprises to connect, collaborate, showcase products, and scale seamlessly using next-generation digital tools.

Role Overview

We are seeking motivated, hands-on B.Tech students with a strong passion for Artificial Intelligence and Machine Learning to join our technology team.

Unlike traditional theoretical internships, this 6 to 8-week program focuses on practical, real-world deployment. You will work on actual feature pipelines, data models, and automated logic within the BONC Network platform, bridging the gap between academic ML theory and industry-grade application.

• Data Engineering & Preprocessing: Clean, structure, and prepare real-world business datasets for model training and evaluation.

• Model Development & Fine-Tuning: Build, test, and optimize AI/ML models (NLP, Recommendation Engine, Predictive Analytics, or Computer Vision) based on business requirements.

• Practical Deployment: Assist in deploying ML models into real-world staging/production environments using REST APIs or microservices.

• Feature Integration: Work closely with backend engineering teams to integrate intelligent capabilities into the BONC Network web/mobile ecosystem.

• Performance Optimization: Monitor model inference latency, accuracy, and efficiency under real-world usage conditions.

• Documentation & Benchmarking: Maintain structured documentation of experiments, architecture, and deployment pipelines.

• Eligibility: Currently pursuing B.Tech in CSE, IT, Artificial Intelligence, Data Science, or related engineering streams.

• Core Skills:

  • Proficiency in Python and fundamental ML libraries (e.g., NumPy, Pandas, Scikit-Learn).

  • Familiarity with deep learning / modern framework ecosystems (PyTorch, TensorFlow, or Hugging Face).

  • Understanding of standard AI/ML concepts (NLP, Recommendation Algorithms, or Computer Vision).

• Technical Fundamentals:

  • Basic knowledge of REST APIs (FastAPI / Flask / Django) for connecting models with front-end platforms.

  • Understanding of Git version control.

What You Will Learn & Experience

• Production-Grade MLOps: Move beyond Jupyter Notebooks and experience how ML models operate live in production.

• Real-World Business Use Cases: Gain direct exposure to practical B2B AI features such as intelligent vendor matching, predictive search, automated listing categorization, or recommendation systems.

• Agile Collaboration: Experience working in a fast-paced development sprint with real engineering workflows.