Artificial Intelligence Intern
2 days ago
About SmartBridge
Founded in 2015, SmartBridge is a pioneering EdTech solutions provider dedicated to bridging the gap between academia and industry. Our mission is to build a sustainable talent pipeline for emerging industries by nurturing robust collaborations between educational institutions and the corporate world.
About the Role
We are seeking passionate
pre-final and final year students (2025/2026 pass-outs)
who want to build their career in
Artificial Intelligence, Machine Learning, and Generative AI
. As an AI Intern at SmartBridge, your role will focus on
building guided projects, mentoring students, and continuously upskilling in the latest AI technologies
while contributing to
Proof-of-Concept (PoC) projects across different domains
.
Roles and Responsibilities
- Build
guided projects
in AI/ML and mentor students in their learning journey.
- Collaborate on
Proof-of-Concept (PoC) projects
in domains such as healthcare, retail, BFSI, supply chain, and more.
- Explore and experiment with the latest technologies in
ML, DL, NLP, and Generative AI
.
- Develop and test
machine learning and deep learning models
using Python, TensorFlow, PyTorch, and other AI libraries.
- Perform
data preprocessing, analysis, and validation
to ensure data quality.
- Design and deploy applications using
web frameworks
like Flask, Django, or React.
- Research and explore
AI agents and computational algorithms
for automation workflows.
- Stay updated with the latest
AI research, frameworks, and trends
.
- Actively participate in
mentoring, training, and knowledge-sharing
activities.
Qualifications
- Pre-final and final year students (
2025/2026 pass-outs
preferred).
- Pursuing a
Bachelor's or Master's degree
in Computer Science, Data Science, Machine Learning, AI, or related fields.
Skills Required
Must-Have:
- Strong knowledge of
Python programming & problem-solving
.
- Understanding of
Machine Learning (ML) & Deep Learning (DL)
concepts.
- Familiarity with
web frameworks
such as Flask or Django.
Good-to-Have:
- Basics of
Natural Language Processing (NLP)
and text analytics.
- Exposure to
Generative AI frameworks
(e.g., Hugging Face, LangChain).
- Knowledge of
AI Agents
and automation workflows.
- Frontend experience with
React
.
- Basic knowledge of cloud platforms
(AWS, Google Cloud, or Azure)
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