The Computer Vision engineer will be required to build algorithms based on our existing product portfolio and develop cutting-edge solutions for the emerging requirements of our key markets. The candidate will have the opportunity to interact and collaborate with our team of global Computer Vision experts in developing cutting-edge solutions to meet the dynamic nature of requirements for our customers. Key Responsibilities: a. Designing and implementing efficient computer vision algorithms for recognizing, tracking Human subjects within a controlled environment b. Architecting algorithms to work onboard our hardware systems as well as in the cloud where appropriate. c. Work together with our software development team to develop a scalable software solution Required Experience a. Minimum of 2-4 years of Relevant experience. b. MS, or PhD in Computer Science, Applied Mathematics, or a related field. c. Strong knowledge of the state-of-the-art in computer vision and machine learning algorithms with a solid understanding of OpenCV d. Experience working with point cloud processing and Point Cloud Library (PCL) e. Experience in optimization for computer vision (E.g. Semantic segmentation, depth reconstruction, scene flow) f. Ability to write efficient and maintainable code g. Solid understanding of C++ and/or Python, preferably in a Linux environment h. Possess practical experience in TensorFlow, Caffe. Desired Experience a. Prior experience in working with depth sensors and 3D Reconstruction using computer vision, image processing techniques b. Familiarity with the State-of-the-art in Computer vision and Deep Learning techniques
Finding Innovative Solutions is a challenge . If you are a person excited to take up challenges , WE NEED YOU! Seeking a machine learning expert in CogniCor Want to be part of a team that’s working on creating the next level of AI? Want to be part of a company that holds 6 patents? Are you are person who can apply innovative machine learning, deep learning, reinforcement learning, statistical techniques to create scalable solutions for business problems? If you are interested in creating and implementing new technologies, then we should talk! Job Responsibilities Use machine learning, statistical techniques to create new, scalable solutions for predictive/decisive problems Design, develop and evaluate models for predictive learning Establish automated processes for data analysis, model development, model validation and model implementation Research and implement novel machine learning and statistical approaches Basic Qualifications An MS/PhD in CS, Machine Learning,Statistics or in a highly quantitative field. PhD strongly preferred. Experience in Deep Learning, Reinforcement Learning Techniques and Frameworks such as Keras, Tensor flow ,DL4j,Theano etc. 4+ years of industrial experience in predictive modeling and analysis, predictive software development Strong Problem solving ability Good skills with Java or Python (or similar language) Experience in using R, Matlab, or any other statistical software Strong communication and data presentation skills About CogniCor We are much sought after for our award winning AI Technology. We are built on innovation, and have implemented top-of-the-class Virtual Agents across various sectors in Asia, USA and Europe. We offer a start up environment that fosters thinking out of the box, and reward initiatives. Here, the sky is not the limit - your ambitions are. Being the recipient of several prestigious awards like “Delighting tomorrow’s customer award” by British Telecom, “Most innovative web startup” award by European Commission, an employee at Cognicor would be exposed to real life implementation of AI technology and interaction with top minds in the field of AI and NLP. (The below content is only for the website, instead of ‘’About Cognicor’’) What you gain We’ve been built on innovation, and are much sought after for our award winning AI Technology. You’ll help us build and implement top-of-the-class Virtual Agents across various sectors in Asia, USA and Europe. We offer a start up environment that fosters thinking out of the box, and rewards initiative. Here, the sky is not the limit - your ambitions are. You’ll research top technologies, be exposed to AI technology implementation in real life, and interact with top minds in AI and NLP.
Requirement: Very good knowledge of Matlab scripts Very good knowledge of Simulink Good knowledge in creating large Simulink models Desired: Knowledge of developing the checks for Simulink models (for example, compliance with modeling guidelines) Knowledge in tool-based static code analysis, e.g. with Polyspace or Astree Knowledge about code generation from Simulink models (for example with Targetlink or Embedet Coder) Role: Creation of the Matlab scripts for the automated creation of Simulink models Analysis of the Simulink models and optimization of the architecture of the models Development of checks for Simulink models (for example, compliance with modeling guidelines) optional: Automation of code generation operations Automation of static code analysis of the models Creation modeling guidelines
NANI Engineering Solutions Pvt Ltd state-of-the-art object oriented programming and consideration of SOLID principles • programming language Python 2.7, notably • multithreading, processes, sub-processes • implementing python debuggers • GUI-programming with wxPython (wxWidgets) • software quality assurance measures (unit testing, pylint, pyflakes) • Jenkins build server
Our company is based in Ireland and we are planning to start our new product development of tube filling machine in Mumbai. Our office will be fully operation in Mumbai by end of this year. We have already started the development of the machine and needs a suitable candidate to work with us either part time our full time to develop the firmware of the machine interface and pcba.
Incorporated in June 2000, Sankhyaa Learning is an Ed-tech product company, based in Chennai and focused on improving the quality of Maths & Science education globally through our flagship products: HeyMath! & HeyScience! We develop our products in formal collaboration with the University of Cambridge who we have partnered with since our inception. You can check us out here: https://heymath.com/in/ Over 95% of our work is with overseas customers, and we are investing heavily in building world-class capabilities in Software Engineering to support our next phase of growth – which will include consumer facing Apps in multiple languages, offline delivery capabilities as well as server side integration with our distribution partners to deliver the best user experience. The office environment is very collegiate and you will get to work in small, high-impact teams. We are looking to hire a Snippet writer and he / she will be responsible for writing algorithms to generate Math questions.
Role: To research, implement and test solutions based on computer vision to meet the requirements of the products developed at FR Tech. Work in collaboration with and guidance of a senior computer vision lead and actively participate in the technical discussions while arriving at conclusive solutions. Experience: 4-6 Years Skills & Experience Required: Experience in the field of Computer vision Solid theoretical background in 3D/2D image processing, computer vision and machine learning Experience in Computer vision for object recognition and tracking, image registration, Image calibration and correction In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers Working experience in Deep-learning algorithms/approaches (Neural Networks), platforms like Caffe/Tensorflow and Matlab will be considered as an added advantage Knowledge in Machine learning for pattern recognition Knowledge in 3D, 2D and RGB-D imaging devices and their software integration with bigger systems Ability to understand, optimize and debug imaging algorithms. Should have experience on one of the programming languages such as C, C++, and Python. Should have worked on Ubuntu OS Demonstrated outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents