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Tier-1 brand, mid-level CV/ML role, Bangalore metro, and broad required skills increase competition.
Specialized ADAS, real-time embedded and computer vision skills limit cross-industry transferability.
Explicit 3–8 years plus mandatory CV/ML and DL framework experience make screening strict.
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Develop, train, and validate deep learning models for perception tasks such as object detection, semantic segmentation, and lane detection in ADAS systems.
Analyze large-scale, unstructured video data and collaborate on dataset curation and MLOps pipeline development for data processing, training, and deployment.
Implement and optimize Python algorithms ensuring performance compliance for real-time embedded systems and document technical findings to stakeholders.
Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
3-8 years of professional experience in computer vision or machine learning application development.
Proficiency in Python and strong hands-on experience with deep learning frameworks like PyTorch or TensorFlow 2+.
Familiarity with software development tools such as Git, Docker, and Linux environment.
Possesses a Master’s degree or higher and has prior experience in ADAS, autonomous driving, or robotics domains.
Experienced with model optimization and deployment techniques (e.g., TensorRT, ONNX) and familiar with cloud platforms (AWS/Azure) and data processing tools such as Spark.
Demonstrates a strong understanding of deep learning fundamentals including CNNs and transformers, with exposure to Large Language Models (LLMs) and agentic AI concepts; hands-on C++ experience is a plus.