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Senior Engineer - Deep Learning/AIML

5 days ago 2026/11/20 ·Application closes in 114 days
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Job description

Aufgaben

Job Title: Senior Engineer – AI/ Deep Learning /Computer Vision


Level: T8 (Senior Engineer)


Location: Bangalore


Role Overview


We are seeking Algorithm Engineer with strong skills in perception-driven algorithm development to join our Algo Dev team. In this role, you will take ownership of the end-to-end design and implementation of perception algorithms contributing directly to our AI production stack to deliver a highly efficient AI solution that powers perception, decision-making, and safety-critical systems in next-generation vehicles.


Key Responsibilities


·     Research & Implementation: Benchmark SOTA algorithms in the latest research space & devise novel and compute-efficient perception-based algorithms


·     Algorithm Development for production quality: Design and implement robust Computer Vision Algorithms that are robust to diverse scenarios - changing exposure, variable lighting conditions, human articulations etc.


·     Debug complex issues, conduct thorough root cause analysis, and ensure the performance, robustness, and reliability of perception algorithms across the AI production stack


·     Collaborate with cross-functional teams, distributed globally, to deliver robust and scalable AI algorithms


·     Strong documentation of research work compliant with AI process standards – EU AI Act, ASPICE ML Process etc.


Minimum Qualifications


·       Education: Bachelor’s or Master’s in Computer Vision/Computer Science or related fields


·       Core Experience: 3-6 years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios


·       Technical Skills:


o   Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch


o   Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets


o   Strong understanding of Camera ISP (Image Signal Processor) pipelines, including exposure control, gain, and white balance and how IQ parameters and real time environments affect


algorithm performance


·       Know-how of ML processes for algorithm development


Preferred Qualifications


·       Experience developing and delivering production grade perception algorithms in Automotive domain


·       Strong in fundaments of Perception/ Computer Vision/ Deep Learning/ VLMs / Gen AI


·       Strong understanding of performance metrics, benchmarking, and error analysis for perception systems


·       Experience in optimizing models for runtime performance, including latency, memory footprint, and deployment constraints on edge/embedded systems


·       Publication Record: Published research in top-tier journals or conferences (e.g., CVPR, ICCV) and/or having filed/granted patents in Automotive domain


·       Experience working with algorithm development with diverse camera modalities – RGB, NIR, FIR, Depth etc.


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