Senior Engineer - Deep Learning/AIML

%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin-bottom:6.0pt;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cstrong%3EJob Title%3C/strong%3E: Senior Engineer – AI/ Deep Learning /Computer Vision%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin-bottom:6.0pt;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cstrong%3ELevel:%3C/strong%3E T8 (Senior Engineer)%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin-bottom:6.0pt;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cstrong%3ELocation:%3C/strong%3E Bangalore%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ERole Overview%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:12.0pt 0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-ascii-font-family:Aptos;mso-bidi-font-family:Aptos;mso-fareast-font-family:Aptos;mso-hansi-font-family:Aptos;%22%3EWe are seeking %3Cstrong%3EAlgorithm Engineer%3C/strong%3E with strong skills in %3Cstrong%3Eperception-driven algorithm development%3C/strong%3E to join our Algo Dev team. In this role, you will take ownership of the %3Cstrong%3Eend-to-end design and implementation of perception algorithms%3C/strong%3E 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.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:12.0pt 0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EKey Responsibilities%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EResearch %26amp; Implementation:%3C/strong%3E Benchmark SOTA algorithms in the latest research space %26amp; devise novel and compute-efficient perception-based algorithms%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EAlgorithm Development for production quality:%3C/strong%3E Design and implement robust Computer Vision Algorithms that are robust to diverse scenarios - changing exposure, variable lighting conditions, human articulations etc.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-ascii-font-family:Aptos;mso-bidi-font-family:Aptos;mso-fareast-font-family:Aptos;mso-hansi-font-family:Aptos;%22%3E%3Cstrong%3EDebug complex issues%3C/strong%3E, conduct thorough root cause analysis, and ensure the performance, robustness, and reliability of perception algorithms across the AI production stack%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECollaborate with cross-functional teams%3C/strong%3E, distributed globally, to deliver robust and scalable AI algorithms%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3EStrong documentation of research work compliant with %3Cstrong%3EAI process standards %3C/strong%3E– EU AI Act, ASPICE ML Process etc.%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin:0in 0in 0in .35in;mso-list:l2 level1 lfo1;tab-stops:list .3in;text-align:justify;text-indent:-.25in;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22line-height:normal;margin-bottom:0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cstrong%3EMinimum Qualifications%3C/strong%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-list:l0 level1 lfo2;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EEducation:%3C/strong%3E Bachelor's or Master's in Computer Vision/Computer Science or related fields%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-list:l0 level1 lfo2;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECore Experience:%3C/strong%3E 3-6 years of experience in developing %3Cstrong%3EComputer Vision %3C/strong%3Ealgorithms, specifically focusing on real production grade scenarios%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-list:l0 level1 lfo2;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ETechnical Skills:%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 63.0pt;mso-list:l0 level2 lfo2;tab-stops:list 63.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:%26quot;Courier New%26quot;;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3Eo%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3E%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EStrong expertise in %3Cstrong%3EPython %3C/strong%3Eand libraries like %3Cstrong%3EOpenCV, SciPy, and PyTorch%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 63.0pt;mso-list:l0 level2 lfo2;tab-stops:list 63.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:%26quot;Courier New%26quot;;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3Eo%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3E%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EKnow how of %3Cstrong%3ESOTA CNNs, ML/DL Model training using large scale datasets – %3C/strong%3Eboth real and artificial datasets%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 63.0pt;mso-list:l0 level2 lfo2;tab-stops:list 63.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:%26quot;Courier New%26quot;;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3Eo%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-fareast-font-family:%26quot;Courier New%26quot;;mso-list:Ignore;%22%3E%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EStrong understanding of %3Cstrong%3ECamera ISP (Image Signal Processor) pipelines%3C/strong%3E, including exposure control, gain, and white balance and how IQ parameters and real time environments affect%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 1.0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3Ealgorithm performance%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-list:l0 level1 lfo2;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EKnow-how of ML processes for algorithm development%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in .5in;text-align:justify;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;text-align:justify;%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EPreferred Qualifications%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l3 level1 lfo3;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EExperience developing and delivering production grade perception algorithms in Automotive domain%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l3 level1 lfo3;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EStrong in fundaments of Perception/ Computer Vision/ Deep Learning/ VLMs / Gen AI%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l3 level1 lfo3;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EStrong understanding of performance metrics, benchmarking, and error analysis for perception systems%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l3 level1 lfo3;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EExperience in optimizing models for runtime performance, including latency, memory footprint, and deployment constraints on edge/embedded systems%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l3 level1 lfo3;tab-stops:list 27.0pt;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EPublication Record: Published research in top-tier journals or conferences (e.g., CVPR, ICCV) and/or having filed/granted patents in Automotive domain%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22margin:0in 0in 0in 27.0pt;mso-add-space:auto;mso-list:l1 level1 lfo4;text-align:justify;text-indent:-.25in;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;line-height:115%;mso-bidi-font-family:Symbol;mso-fareast-font-family:Symbol;mso-list:Ignore;%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EExperience working with algorithm development with diverse camera modalities – RGB, NIR, FIR, Depth etc.%3C/span%3E%3C/span%3E%3C/p%3E

Job Details
Group: Mercedes-Benz Group AG
Organization: Mercedes-Benz Research and Development India Private Limited
Primary Location: India-Karnataka-Bangalore
Work Locations: Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore, 560037