AI Native Builder (Intern)

Atlan's interview process usually starts with a timed online assessment focusing on aptitude and coding. The technical interview dives deep into machine‑learning concepts, data structures, and system design, often with a mini‑project discussion. The HR round assesses cultural fit, communication skills, and motivation. Preparing with hands‑on ML projects and clear articulation of past experiences helps candidates succeed.

Atlan promotes a collaborative, data‑driven culture where engineers are encouraged to experiment and share knowledge. Employees enjoy flexible work arrangements, mentorship programs, and a focus on work‑life balance, with regular tech talks and hackathons to foster continuous learning.

Graduates or final‑year students pursuing B.Tech/M.Tech/BS in Computer Science, Information Technology, Data Science, or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Batch years 2024‑2027 accepted. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn.

Round 1: Online aptitude & coding test → Round 2: Technical interview (ML concepts, coding, system design) → Round 3: HR interview (fit, motivation, culture)

Atlan is a fast‑growing data collaboration platform that helps enterprises turn raw data into actionable insights. Founded in 2017, the company has built a unified catalog where data engineers, analysts, and product teams can discover, understand, and govern data assets across the organization. Backed by prominent investors and serving Fortune‑500 customers, Atlan is known for its culture of innovation, data‑first thinking, and a strong emphasis on open‑source contributions. The work environment encourages curiosity, rapid experimentation, and cross‑functional collaboration, making it an ideal place for fresh talent to grow. The AI Native Builder internship is designed for recent graduates or final‑year students who are passionate about building AI‑driven products. As an intern, you will work closely with product managers, data scientists, and engineering teams to translate user problems into scalable machine‑learning solutions. You will get hands‑on experience in the entire lifecycle of AI development—from data ingestion and model training to deployment and monitoring—while contributing to Atlan’s proprietary AI stack and open‑source components. Key responsibilities include: 1. Collaborate with product teams to translate user needs into AI‑powered solutions. 2. Build and fine‑tune machine‑learning models for data classification, anomaly detection, and recommendation. 3. Develop data pipelines using Python, SQL, and cloud services (AWS/GCP). 4. Write clean, modular code and maintain documentation for reproducibility. 5. Conduct experiments, analyze results, and iterate on model performance. 6. Participate in code reviews and adopt best practices for testing and deployment. 7. Create dashboards and visualizations to communicate insights to stakeholders. 8. Contribute to open‑source components of Atlan’s AI stack where applicable. 9. Stay updated with the latest research in NLP, graph learning, and data provenance. 10. Assist in preparing technical demos and presentations for internal and external audiences. The tech stack revolves around Python (pandas, scikit‑learn, PyTorch/TensorFlow), SQL, cloud platforms (AWS S3, Lambda, GCP BigQuery), and orchestration tools like Airflow. Exposure to graph databases and NLP libraries such as Hugging Face is a plus. The internship offers a clear growth path: high‑performing interns may receive full‑time offers, mentorship from senior AI engineers, and opportunities to lead small AI projects. Joining Atlan provides a chance to work on real‑world data problems, learn from industry experts, and become part of a community that values data democratization and AI innovation.