Opportunity brief
About the Internship:
B2World is looking for passionate and motivated AI/ML Engineer Interns who are interested in building real-world Artificial Intelligence and Machine Learning solutions. This internship provides an opportunity to work on practical AI/ML projects, explore modern AI technologies, and gain hands-on experience in developing intelligent applications.
The selected interns will work with the technical team on real-world and commercial AI projects, contributing to research, development, experimentation, model building, and AI application integration.
Responsibilities of the Intern:
- Design and develop AI/ML solutions and AI agents for real-world applications.
- Build, train, test, and evaluate Machine Learning and Deep Learning models.
- Work with structured and unstructured datasets.
- Perform data preprocessing, cleaning, feature engineering, and data augmentation.
- Work with frameworks such as Python, TensorFlow, PyTorch, Keras, and Scikit-learn.
- Explore and implement Generative AI, Large Language Models (LLMs), NLP, and Computer Vision solutions.
- Develop and experiment with RAG (Retrieval-Augmented Generation) based applications.
- Work with embeddings, vector databases, and AI-powered search systems.
- Explore basic Reinforcement Learning concepts and applications.
- Perform hyperparameter tuning and model optimization.
- Evaluate models using appropriate performance metrics.
- Develop AI/ML APIs and integrate models with web and software applications.
- Assist in deploying AI solutions into production-ready environments.
- Work with cloud platforms and deployment technologies where required.
- Research and experiment with the latest advancements in AI, ML, Generative AI, NLP, and Computer Vision.
- Collaborate with software developers, data scientists, UI/UX designers, and business teams.
- Document experiments, methodologies, model performance, workflows, and results.
- Participate in technical discussions, code reviews, and project demonstrations.
Required Skills:
- Strong programming knowledge in Python.
- Basic understanding of Machine Learning and Deep Learning.
- Familiarity with TensorFlow, PyTorch, Keras, or Scikit-learn.
- Understanding of data preprocessing and feature engineering.
- Basic understanding of statistics and model evaluation.
- Familiarity with NLP and/or Computer Vision.
- Basic understanding of Generative AI and LLM concepts is an advantage.
- Knowledge of APIs and software development fundamentals.
- Good analytical and problem-solving skills.
- Good communication and documentation skills.
- Ability to learn new technologies and work collaboratively.
Good to Have:
- Experience with LLMs and Generative AI.
- RAG implementation experience.
- Knowledge of vector databases.
- Experience with Hugging Face.
- Knowledge of LangChain/LangGraph or similar frameworks.
- Basic knowledge of Docker.
- Exposure to AWS, Google Cloud, or Azure.
- Knowledge of MLOps/model deployment.
- Git/GitHub experience.
- Experience with NLP or Computer Vision projects.
What You Will Gain:
- Hands-on experience with real-world AI/ML projects.
- Exposure to Generative AI, LLMs, AI Agents, and RAG.
- Practical experience in Machine Learning and Deep Learning.
- Experience working with production-oriented AI applications.
- Mentorship from experienced technical professionals.
- Exposure to AI research and experimentation.
- Opportunity to contribute to B2World's internal and commercial AI products.
- Portfolio-building opportunities.
- Internship Completion Certificate upon successful completion.
- Potential PPO opportunity for outstanding performers, subject to performance, business requirements, and availability.
Internship Terms:
- This internship does not provide a fixed stipend or monthly remuneration.
- Interns are expected to actively participate in assigned projects, maintain regular communication, meet deadlines, and provide progress updates.
- Performance will be evaluated based on technical contribution, project quality, consistency, learning ability, problem-solving skills, professionalism, and timely completion of assigned tasks.
- A PPO may be offered to outstanding performers, subject to company requirements and performance evaluation. PPO is not guaranteed.