The recruitment process is structured as follows:
1. Assessment Round
- Format: Multiple-choice questions (MCQs), coding challenges, and a mathematical problem focused on deep learning.
- Coding Task: One of the key problems involved implementing a sliding window algorithm.
- Objective: Evaluate foundational knowledge in programming, problem-solving, and mathematical reasoning relevant to AI/ML.
2. Technical Interviews (3 Rounds)
- Focus Areas:
- Project Deep Dive: Detailed discussion on your computer vision project, which plays a crucial role in initial shortlisting.
- Python Snippets: Candidates are given basic Python code segments and asked to predict the output or explain the logic.
- Domain Relevance: Interviewers explore their farming techniques and assess how your skills and experience can contribute to their solutions.
3. HR Round
- Covers general fit, communication skills, and alignment with company values and culture.
