Technical Expert: Deep Learning & Computer Vision at Siemens AG
With over 1800 researchers, Corporate Technology (CT) (www.ct.siemens.com) occupies a special position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, USA, China, India, Russia, Japan and Eastern Europe, Corporate Technology helps secure the company's technological future and bolster its competitiveness.
Who are we?
Our Research Group (Advanced Data Management) is part of Business Analytics and Monitoring (BAM) Technology Field of CT Research in Digitalization and Automation. Headquartered in Munich, we are a passionate community of around 220+ researchers, data scientists and architects distributed across the globe. We strive to solve complex problems in various domains ranging from Manufacturing, Infrastructure, Energy, Mobility and Buildings to Smart cities by applying methods and principles of data analytics and artificial intelligence.
Here is your role. What part will you play?
oAs a TE ,Can you move beyond theoretical models and build innovative, practical and robust real-world solutions for Computer Vision based applications in smart mobility, intelligent infrastructure and autonomous systems?
oCan you develop strategic concepts and engage in technical business development to address new markets with our business units, using video-analytics based technologies?
oDo you find it exciting to dive deep into an ocean of data and solve challenges associated with transforming and enriching such large complex datasets?
oCan you demonstrate outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals?
We dont need superheroes, just super minds.
oPhD/Masters degree in Computer Science and from a reputed institute with grass-root experience of at least 8 years in solving complex problems and driving actionable insights.
oHands-on experience with one or more of the following is a must:
oMinimum 6 years of experience working on Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms)
oSolid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch
oHands-on experience using OpenCV and OpenGL
oExperience with datasets such as Visual Genome for applications in image description and question answering
oResearch, develop and prototype software technologies related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM and photometric stereo
oOptimization techniques and model compression for deployment on resource-constrained hardware/edge devices
oExcited to collaborate with team members from idea generation, prototyping through production, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio
oHave rich experience in understanding and influencing technology choices and building solutions to remove obstacles to adoption.
oClosely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies
oExtremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.
Make your mark in our exciting world at Siemens.
Were Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination, and help us shape tomorrow.
Find out more about department at: website department and about Siemens careers at: www.siemens.com/careers
Organization: Corporate Technology
Company: Siemens Technology and Services Private Limited
Experience Level: Experienced Professional
Job Type: Full-time
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