Engineer - Deep Learning/AI

Tasks Job Title: Engineer AI/ Deep Learning /Computer Vision Level: T9 (Research 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: Bachelors or Masters in Computer Vision/Computer Science or related fields Core Experience: 1-2+ 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. Tasks Job Title: Engineer AI/ Deep Learning /Computer Vision Level: T9 (Research 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: Bachelors or Masters in Computer Vision/Computer Science or related fields Core Experience: 1-2+ 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