Company: Purezza Technologies
Duration: Minimum 3 Months
Location: Remote
Stipend: Unpaid
Working Hours: Flexible (Minimum 5–6 hours/day)
About Purezza Technologies
Purezza Technologies is an emerging tech company driving innovation across cybersecurity, AI, web development, and brand strategy. We build cutting-edge digital solutions that solve real-world problems, and we are currently expanding our AI and data science initiatives with exciting internal and client-focused projects.
Position Overview:
We’re looking for passionate Data Science / AI-ML Developer Interns who are eager to work on real-world problems and contribute to impactful solutions using AI and machine learning. This is a perfect opportunity for someone wanting hands-on exposure in building models, analyzing data, and developing intelligent systems.
Key Responsibilities:
- Work on AI/ML models for classification, prediction, NLP, or computer vision (based on project needs).
- Collect, clean, and analyze datasets using Python and libraries like Pandas, NumPy, etc.
- Build and evaluate machine learning models using Scikit-learn, TensorFlow, PyTorch, etc.
- Collaborate on AI-based cybersecurity or business analytics tools in development.
- Conduct research and propose innovative ideas for automation or optimization.
- Document processes and contribute to technical reports or internal papers.
Preferred Skills:
- Proficiency in Python and core libraries (Pandas, NumPy, Matplotlib, etc.)
- Understanding of ML algorithms (regression, classification, clustering, etc.)
- Familiarity with TensorFlow, Keras, or PyTorch (any one is fine)
- Good analytical and problem-solving mindset
- Bonus: Knowledge of NLP, Computer Vision, or Reinforcement Learning
Perks & Benefits:
✅ Certificate of Completion
✅ Letter of Recommendation (LOR) for excellent performance
✅ Experience Letter (if performance criteria are met)
✅ Mentorship & Technical Guidance from experienced professionals
✅ Flexible Working Hours (5–6 hours/day, remote)
✅ Real project exposure and contribution to internal tools and research
Who Should Apply?
- Students or freshers in Computer Science, Data Science, AI/ML, or related fields
- Individuals looking to strengthen their real-world portfolio and resume
- Learners with strong fundamentals and curiosity to work on cutting-edge AI/ML projects
How to Apply:
Fill the form below.