Student Intern AI/ML

Company Description Aurinko IT Solutions Pvt. Ltd. is a Hyderabad-based deep-tech software company specializing in next-generation enterprise platforms in the B2B SaaS domain. The organization focuses on developing scalable and intelligent software solutions that simplify and modernize complex, large-scale data and infrastructure environments. Aurinko builds enterprise-grade systems tailored to the needs of modern data-driven organizations, helping improve efficiency, scalability, and operational reliability. Founded in India with a global vision, the company is dedicated to advancing enterprise technology through robust, future-ready platforms for businesses worldwide.

Role Description This is a full-time, on-site Student Intern AI/ML role based in Hyderabad. The intern will assist in researching and experimenting with machine learning and artificial intelligence techniques relevant to enterprise data platforms. Day-to-day tasks include data collection and preprocessing, building and evaluating ML models under guidance, documenting findings, and contributing to prototype development. The role also involves collaborating with software engineers and mentors, participating in code reviews, and helping integrate AI/ML components into existing systems. The intern is expected to learn quickly, follow best practices, and support the team in solving real-world problems in scalable enterprise environments.

Qualifications

• Candidates should possess foundational knowledge in machine learning and artificial intelligence concepts (e.g., supervised/unsupervised learning, model evaluation, basic statistics).
• Candidates should possess programming skills in languages commonly used for AI/ML such as Python, along with familiarity with libraries like NumPy, pandas, scikit-learn, or similar tools.
• Candidates should possess basic understanding of data handling and processing, including working with structured/unstructured data, data cleaning, and feature engineering.
• Candidates should possess skills in problem-solving, analytical thinking, and the ability to translate technical findings into clear documentation or presentations.
• Candidates should possess collaboration and communication skills for working in cross-functional teams and receiving constructive feedback.
• Enrollment in a bachelor's or master's program in Computer Science, Data Science, Engineering, or a related field is preferred.
• Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) and basic knowledge of cloud platforms or distributed systems is an added advantage.
• Interest in enterprise software, B2B SaaS, and scalable data platforms is highly beneficial.