AI/ML & Cybersecurity Intern (Freshers / Students)
5 days ago
About the Role
CyArt Tech LLP is looking for enthusiastic
students or recent graduates
who are eager to gain hands-on experience at the intersection of
Artificial Intelligence, Machine Learning, and Cybersecurity
.
You will work closely with our engineering and research teams on real-world projects that contribute directly to our AI-driven security solutions.
Key Responsibilities
- Assist in developing and training AI/ML models for security-focused applications.
- Support research, data preparation, model evaluation, and experiment documentation.
- Contribute to cybersecurity assessments, threat analysis, and automated detection workflows.
- Work on integrating AI-driven insights into security tools and frameworks.
- Collaborate with senior engineers on solving technical challenges.
- Participate in brainstorming, POCs, and rapid prototyping sessions.
Required Skills
- Strong foundation in
Python
, algorithms, and data structures. - Basic understanding of
Machine Learning concepts
(classification, regression, NLP, etc.). - Familiarity with
AI/ML libraries
such as TensorFlow, PyTorch, Scikit-learn, or similar. - Interest or basic exposure to
cybersecurity domains
like threat detection, vulnerability analysis, or secure coding. - Ability to learn fast, adapt quickly, and take ownership of tasks.
Good to Have (Optional)
- Experience with cloud platforms (AWS, Azure, GCP).
- Knowledge of cybersecurity tools (SIEM, IDS/IPS, Kali Linux tools).
- Understanding of LLMs, generative AI, or prompt engineering.
- Prior academic or personal projects in AI/ML or cybersecurity.
Eligibility
- Students (2nd/3rd/4th year) or recent graduates from any CS/IT/ECE background.
- Passion for innovation, problem-solving, and emerging technologies.
What You'll Gain
- Hands-on experience with real products and security systems.
- Mentorship from experienced AI and cybersecurity experts.
- Opportunity to work on impactful projects that strengthen digital security.
- A pathway to full-time opportunities based on performance.
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