Artificial Intelligence Virtual Internship

Candidates typically face an initial timed aptitude test followed by a technical interview focusing on Python, data structures, and core AI/ML concepts. The final HR round assesses cultural fit and communication skills. Difficulty is moderate; thorough preparation of coding fundamentals and basic ML theory greatly improves chances.

Geonixa fosters a collaborative, learning‑centric culture where interns are treated as contributors rather than observers. The company emphasizes work‑life balance with flexible timings, regular knowledge‑sharing sessions, and mentorship that encourages personal and professional growth.

Any bachelor's degree (B.Tech/B.E., B.Sc., B.Com, BA, etc.) from any stream; minimum 60% aggregate or CGPA 6.0/10; batch years 2023‑2025; must be available for the full 3‑month duration; no active backlogs at the time of joining; strong interest in AI/ML and basic programming knowledge required.

Round 1: Online Aptitude Test → Round 2: Technical Interview (AI/ML concepts, coding) → Round 3: HR Interview

Geonixa Ed Tech Private Limited is an emerging ed‑tech startup focused on leveraging cutting‑edge technology to transform learning experiences across India. Founded by a team of education enthusiasts and technologists, the company builds AI‑driven platforms that personalize content, automate assessments, and provide intelligent tutoring. With a growing client base that includes schools, coaching institutes, and corporate training programs, Geonixa has positioned itself as a forward‑thinking player in the Indian education ecosystem. The organiza tion promotes a culture of continuous learning, encourages experimentation, and rewards innovation, making it an attractive destination for fresh talent eager to make an impact. The Artificial Intelligence Virtual Internship is a three‑month, fully remote program designed to give students hands‑on exposure to real‑world AI projects. Interns will work closely with senior data scientists and product engineers to develop, test, and deploy machine‑learning models that power the company’s learning solutions. The role offers a stipend of ₹15000 per month, three industry‑recognized certifications, LinkedIn profile building sessions, interview preparation workshops, and a portfolio‑building component that can be showcased to future employers. Key Responsibilities: 1. Collect, clean, and preprocess educational datasets for model training. 2. Develop and fine‑tune machine‑learning algorithms for tasks such as student performance prediction, content recommendation, and automated grading. 3. Implement deep‑learning models using frameworks like TensorFlow or PyTorch for image‑based question analysis and speech‑to‑text transcription. 4. Conduct exploratory data analysis and visualize insights to guide product decisions. 5. Write modular, well‑documented code and maintain version control using Git. 6. Collaborate with cross‑functional teams (product, design, content) to integrate AI solutions into the platform. 7. Participate in weekly sprint meetings, present progress, and incorporate feedback. 8. Prepare technical documentation and demo videos for stakeholder review. 9. Stay updated with the latest AI research and suggest innovative features. 10. Assist in creating test cases and performing model validation to ensure robustness. Tech Stack: Python, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, Jupyter Notebook, Git, SQL. Growth Path: High‑performing interns may receive a full‑time offer as Junior Data Scientist or AI Engineer, with clear mentorship pathways and access to advanced training programs. The internship also equips participants with a strong portfolio, making them competitive for roles in AI across industries. Why Join: This internship provides a rare blend of theoretical learning and practical implementation on live products, mentorship from industry experts, and a supportive environment that values curiosity and impact.