Computer Vision |Robert Bosch |Pune|4-8 Years

  • Job typeJob type: Onsite
  • Job DurationPermanent
  • Project LevelMedium Level

Project detail


Education Requirements: · BE, Btech, / Master’s or PhD is preferred (Computer Science / Machine Learning, etc.,) from tier 1 institutions Job Requirements: · Good knowledge of Computer vision algorithms and hands-on experience in Opencv, Machine learning and deep learning for Vision data. · Experience in Medical or Industry domain on Computer Vision will be preferable · Ability to drive product class algorithm development including data acquisition, processing and deployment in edge or cloud · Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs. · Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. · Should have independently handled a project technically and provided directions to the other Team Members. · Experience in turning ideas into actionable designs. · Able to persuade stakeholders and champion effective techniques through development. · Ongoing technical authority role with our larger customers. · Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. · Able to lead the project independently. · Technical directions to junior in team, like to sort the respective task for responsible team members. Technical Skills · Expertise with one of the following DL frameworks; o Tensorflow, Keras, Caffe, Pytorch · Proficient in OpenCV – and image processing stacks. · Knowledge in Machine learning algorithms – like regression, SVM, clustering etc., · Good to have – programming skills – C/C++ · Good to have – knowledge in containers – like Dockerization · Good to have – knowledge in CI/CD pipelines · Preferable : knowledge working with IP cameras / GIGE cameras / live data acquisition / data acquisition optimization · Domain expertize in one the areas : Automotive or Medical or Industry · Should have experience in Cloud or Edge deployment architectures · Tech savy and willing to work with open-Source Tools · Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.

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