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
- Internship Type: AI/ML Engineering Internship
- Duration: As per the internship program and project requirements.
- Mode: Virtual / Remote
- Stipend: Fully Unpaid
- 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.
Application Process
Interested candidates are requested to apply through the official B2World Career Portal in addition to any external application they may have submitted. Important: Candidates are requested to apply through the B2World Career Portal so that their application can be properly registered and they can receive updates regarding the selection process, interview rounds, application status, onboarding, and other recruitment steps directly from the B2World team.
About B2World
B2World (BTOW Pvt. Ltd.) is a technology and IT solutions company working across web and software development, mobile applications, AI/ML, cloud solutions, digital platforms, and technology consulting. The company focuses on developing practical technology solutions and providing candidates with exposure to real-world industry projects.
Interested in building AI solutions that go beyond academic projects? Apply through the B2World Career Portal and begin your AI/ML journey with us.