VANCO.AI — 6-Month Paid Internship

The typical interview process at Docs.google.com involves an initial online coding assessment followed by one or two technical rounds focusing on data structures, algorithms, and machine‑learning concepts. A final HR round assesses cultural fit and communication skills. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear articulation of thought process.

Docs.google.com, as part of Google, promotes a collaborative and inclusive culture where innovation is encouraged and employees are given autonomy to experiment. The work‑life balance is well‑maintained with flexible policies, and career growth is supported through continuous learning programs and clear promotion pathways.

Graduates (B.Tech/B.E./B.Sc.) in Computer Science, Information Technology, Electronics & Communication, or related streams; CGPA 6.5/10 or higher; batch years 2024‑2026; no active backlogs; strong interest in AI/ML and software development; good communication skills.

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (ML concepts & coding) → Round 3: HR Interview

VANCO.AI is an emerging AI‑driven technology startup headquartered in Bangalore, focusing on building intelligent solutions for enterprises across sectors such as finance, healthcare, and logistics. The company blends cutting‑edge machine learning research with robust software engineering practices to deliver products that automate decision‑making, enhance operational efficiency, and unlock new business insights. With a fast‑growing client base and a culture that encourages experimentation, VANCO.AI has quickly positioned itself as a vibrant player in India’s AI ecosystem. The 6‑month paid internship at VANCO.AI offers fresh graduates a rare chance to work on real‑world AI and IT projects directly under seasoned professionals. Interns will be embedded within product teams, participating in the full lifecycle of a project—from requirement gathering and data preprocessing to model development, testing, and deployment. The role is strictly in‑office at the HSR Layout campus, ensuring hands‑on mentorship, collaborative brainstorming sessions, and exposure to industry‑standard development workflows. **Key Responsibilities** 1. Assist in data collection, cleaning, and exploratory analysis for AI model pipelines. 2. Develop and fine‑tune machine‑learning models using Python libraries such as TensorFlow, PyTorch, and scikit‑learn. 3. Write clean, modular code and contribute to version‑controlled repositories (Git). 4. Participate in code reviews and adopt best practices for testing and documentation. 5. Collaborate with UI/UX designers to integrate AI outputs into user‑friendly dashboards. 6. Conduct performance benchmarking and suggest optimizations for model accuracy and latency. 7. Prepare technical reports and present findings to senior engineers and product managers. 8. Support the deployment of models on cloud platforms (AWS/GCP) and monitor production performance. 9. Stay updated with the latest research papers and propose innovative solutions to existing challenges. 10. Contribute ideas for new product features and assist in prototyping proof‑of‑concepts. **Tech Stack**: Python, TensorFlow/PyTorch, scikit‑learn, SQL, NoSQL, Docker, Git, AWS/GCP, Flask/Django for API development, React for front‑end visualisation. **Growth Path**: High‑performing interns may be offered a full‑time role as AI Engineer or Software Developer, with clear career ladders towards senior engineering, lead, and managerial positions. The internship also equips candidates with a portfolio of live projects, making them competitive for roles in top tech firms. **Why Join VANCO.AI?** The internship promises a blend of rigorous technical exposure, mentorship from industry experts, and a supportive environment that values curiosity and innovation. Interns gain tangible experience that bridges academic learning with industry demands, positioning them for a successful career in AI and software development.