Description:
We are looking for AI / ML Interns who are eager to explore and gain hands-on experience in Artificial Intelligence, Machine Learning, and Data Science. During this internship, you will work on exciting real-world projects involving data processing, model training, and AI-powered solutions.
Assist in developing and deploying machine learning models.
Perform data preprocessing, cleaning, and visualization.
Work with senior developers and data scientists on AI/ML-driven projects.
Research and implement algorithms for prediction, classification, and automation.
Write efficient Python code for model training and testing.
Document and present progress to the team.
Basic understanding of Python and popular ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
Knowledge of statistics, linear algebra, and probability.
Familiarity with data preprocessing and feature engineering.
Strong analytical and problem-solving mindset.
Eagerness to learn and explore real-world AI applications.
Knowledge of Natural Language Processing (NLP) or Computer Vision.
Familiarity with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
Experience with APIs, cloud platforms (AWS, Google Cloud, Azure).
Exposure to LangChain, LLMs, or Vector Databases (Pinecone, Chroma, etc.).
Mentorship from experienced AI/ML professionals.
Real-world project exposure in AI-powered solutions.
Internship Certificate upon completion.
Opportunity for full-time placement based on performance.
Petalnex (PVT) Limited is an international IT services company with offices in Pakistan, Dubai, and Canada. We deliver cutting-edge solutions in software development, AI/ML, cloud systems, and digital transformation. We are now offering internship opportunities to fresh graduates and students passionate about Artificial Intelligence and Machine Learning.
| Organization | Petalnex Pvt Ltd |
| Industry | IT / Telecom / Software Jobs |
| Occupational Category | AI Intern |
| Total Positions | 5 |
| Job Location | Mansehra,Pakistan |
| Shift Type | Morning |
| Job Type | Internship |
| Gender | No Preference |
| Career Level | Entry Level |
| Experience | Fresh |
| Posted at | 2025-09-23 4:05 pm |
| Expires on | 2026-01-04 |