AI/ML Internship

Round 1: Online aptitude & technical test → Round 2: Technical interview focusing on ML concepts and coding → Round 3: HR interview assessing fit and motivation

Kukbit SL fosters a collaborative, fast‑paced environment where ideas are encouraged and ownership is given early. Employees enjoy flexible hours, remote work options, and regular knowledge‑sharing sessions that promote continuous skill growth.

The interview process at Kukbit SL typically starts with a timed online assessment covering aptitude and basic programming. Successful candidates move to a technical interview where they discuss machine‑learning concepts, past projects, and solve a coding problem on the spot. The final HR round focuses on cultural fit, communication skills, and career aspirations. Overall difficulty is moderate, and preparation on fundamentals and problem‑solving helps greatly.

Open to students from Arts, Commerce, Science, Engineering, Management and other streams. Minimum 60% aggregate (or CGPA 6.0/10) in the most recent qualification. No active backlogs at the time of joining. Candidates from undergraduate (final year), postgraduate and diploma programs graduating in 2024‑2026 are eligible. Must have a basic understanding of programming and statistics.

Kukbit SL is an emerging AI‑focused startup that builds intelligent solutions for businesses across sectors such as fintech, e‑commerce, and healthcare. Founded by a group of data scientists and engineers, the company leverages cutting‑edge machine‑learning research to create products that automate decision‑making and enhance user experiences. With a lean team spread across India, Kukbit SL promotes a culture of rapid experimentation, continuous learning, and open collaboration, allowing interns to contribute meaningfully from day one. The AI/ML Internship at Kukbit SL is designed for fresh graduates and final‑year students who are eager to apply theoretical knowledge to real‑world problems. As an intern, you will work closely with senior AI researchers and machine‑learning engineers on projects that span the entire model lifecycle – from data acquisition to deployment. The role offers a blend of hands‑on coding, research, and communication tasks, ensuring a holistic exposure to the AI product development pipeline. Key responsibilities include: 1. Assisting in the design, development, and fine‑tuning of machine‑learning models for various business use‑cases. 2. Collecting, cleaning, and preprocessing structured and unstructured data sets. 3. Conducting literature reviews on emerging AI/ML techniques and summarising findings for the team. 4. Performing exploratory data analysis to uncover patterns and insights. 5. Supporting the creation of model evaluation reports and visualisations. 6. Collaborating with cross‑functional teams to integrate AI solutions into existing platforms. 7. Preparing technical documentation, progress logs, and presentation decks. 8. Participating in regular sprint meetings, brainstorming sessions, and code reviews. 9. Experimenting with new tools and libraries such as TensorFlow, PyTorch, and Scikit‑learn. 10. Contributing ideas for innovative AI‑driven products and features. The tech stack primarily revolves around Python, Jupyter notebooks, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, SQL, and cloud services like AWS or GCP for model deployment. Interns will also get exposure to version control (Git) and agile project management tools. Growth path: High‑performing interns may receive a pre‑placement offer, transitioning into a full‑time Machine Learning Engineer role with a clear roadmap toward senior and lead positions. The internship also equips candidates with a strong portfolio of AI projects, a certificate of completion, and a letter of recommendation, all of which boost employability in the competitive AI job market. Why join Kukbit SL? The company offers flexible, work‑from‑home hours, a supportive mentorship environment, and the chance to work on production‑grade AI solutions early in your career. The stipend of ₹12K‑₹15K per month, coupled with a certificate, recommendation letter, and potential pre‑placement offer, makes this internship a valuable stepping stone for aspiring AI professionals.