Cyber Security Internship

Location: Remote / Hybrid / On-site (as applicable)

Duration: 3–6 Months (Internship)

Stipend: Performance-based / Paid (Mention amount if applicable)

Start Date: Immediate

We are looking for a highly motivated Software Intern who is passionate about artificial intelligence, machine learning, and automation. This internship is designed for individuals who enjoy solving real-world problems using AI and are eager to work on cutting-edge technologies.

You will work closely with our technical team on AI-powered applications, automation tools, computer vision, large language models (LLMs), and data-driven solutions.

Responsibilities

• Research and implement AI/ML models for real-world applications.
• Build AI-powered tools using Large Language Models (LLMs).
• Develop automation workflows using AI APIs.
• Work on computer vision and image processing projects.
• Collect, clean, and preprocess datasets.
• Fine-tune and evaluate machine learning models.
• Assist in prompt engineering and AI agent development.
• Collaborate with developers to integrate AI models into products.
• Stay updated with the latest AI research and technologies.
• Document experiments and present findings.

Required Skills

• Basic understanding of Machine Learning and Deep Learning.
• Knowledge of Python.
• Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or OpenCV.
• Understanding of APIs and REST services.
• Basic knowledge of Git/GitHub.
• Strong analytical and problem-solving skills.
• Good communication and documentation abilities.

Preferred Skills

• Experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
• Knowledge of Retrieval-Augmented Generation (RAG).
• Experience with LangChain, LlamaIndex, CrewAI, or AI agents.
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Experience with SQL and vector databases.
• Basic knowledge of Docker.

Eligibility

• Final-year undergraduate or postgraduate students in Computer Science, AI, Data Science, IT, Electronics, or related fields.
• Recent graduates with relevant AI projects are also encouraged to apply.
• Candidates with strong personal projects or GitHub portfolios will be given preference.