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 solid personal projects or GitHub portfolios will be given preference.

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