Artificial Intelligence Engineer

Job Description

Image Processing Lead: Lead the team of innovators and technologists toward creating next-level solutions. Work on various technology domains to set strategic direction and solve complex and mission critical problems, internally and externally. Embracing leading-edge technologies and methodologies. Enhance existing inspection product portfolio with advance techniques and technology. Primary responsibilities Strategic and planning Planning of new technology integration in existing Inspection product portfolio (I3, BIS/BPO/Bulk-I etc.) Functional Core: Expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Supporting existing application infrastructure, writing code, model development. Deep knowledge of AI/ML/DL, OpenCV Proficiency in ? System programming C++, Win32 API, QT, Open CV, OpenGL with hardware interfaces. Proficiency in Python Fair knowledge on AI, modelling (ML/DL) and communication. Experience in image processing experience will add value. Apply new technologies that can be used to make existing software better, secure user friendly. Enhance and correct coding flaws in existing code base. Support existing maintenance project in case of critical issues if required. Internal process Cross functional team communication Effort estimation, planning and development. Low Level Design and Documentation People development Cross team communication Key Skills 6+ years of experience in multithreaded system application development using C, C++, Win32 API, QT, Boost, Socket, OpenGL and OpenCV. Proficient in OOPS and Python Expert Experience in Web application development using any client/server and SOA based development with open source web application development framework - Ruby on Rails/ PHP, NodeJS, XML,JSON, Shell scripting, HTML5, CSS3, REST and SOAP communication . (Angular, React will add value) Experience using analytical tools and languages, (e.g., Python, R, etc.). Fair knowledge of AI (deep learning and python). Well verse with Agile methodology and good understanding of SDLC practices, estimation, technical designing (UML/Design patterns) and documentation. Proficient in communication skills to promote cross-team collaboration Good understanding on SDLC.