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Tier-1 brand and metro location increase competition, but niche ML perception reduces applicant pool.
Role requires specialized computer vision and ML perception expertise, limiting transferability outside ML/AV domains.
Explicit years plus required ML/perception experience and production deep learning skills make shortlisting relatively strict.
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Develop and industrialize low-level perception algorithms for advanced driver assistance systems.
Participate in all development phases including prototyping, training data preparation, implementation, testing, and deployment of deep learning models.
Work within an international, interdisciplinary team focused on self-driving car technology with an agile approach.
Bachelor's degree in computer science or related field (B.Tech/B.E).
1-2 years experience in machine learning or perception projects.
Strong Python programming skills with solid understanding of data structures and algorithms.
Experience with computer vision, advanced machine learning, and deep learning projects.
Comfortable working across the machine learning lifecycle from prototyping to deployment in production environments.
Experience or familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, or ONNX is advantageous.
Ability to operate effectively in interdisciplinary, international teams with analytical and logical problem-solving skills.