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REQUIREMENT_ID_244 • 3-DAY_ACTIVE_POLICY

AI/ML Internship

Company
Company Kukbit SL
Type
Opportunity Type Internship
Salary
Stipend / Salary ₹12,000 - ₹15,000 per month (Stipend)
Location
Location Remote
Posted Date
Posted Date Today
Python Machine Learning Data Preprocessing Statistics SQL TensorFlow PyTorch Data Visualization Communication Problem Solving
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Aptitude Practice Questions Open Resource ↗
Helps you sharpen quantitative and logical reasoning skills required for the online test.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into typical interview formats and common AI/ML questions asked by tech firms.
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Kukbit SL Internship Preparation Open Resource ↗
Specific resources and tips tailored for Kukbit SL's internship selection process and role expectations.
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Algorithm Practice Problems Open Resource ↗
Offers a wide range of coding challenges to improve problem‑solving speed for technical interviews.

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.

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

Kukbit SL — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Kukbit SL Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Kukbit SL and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Machine Learning, Data Preprocessing, Statistics, SQL, TensorFlow, PyTorch, Data Visualization, Communication, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Kukbit SL Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Kukbit SL as a AI/ML Internship?
Preparation Tip: Highlight Kukbit SL's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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