Work with the best talent of software engineers and scientists to design and implement cutting edge technologies. Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection. Enjoy access to large proprietary data, run experiments, learn, iterate and ship. Responsibility: Build computer vision algorithms on resource constrained devices Work on cutting edge problems in Deep Learning for Internal AI Accelerator SW Stack Develop & integrate functional and performance models of accelerators Analyzing the accuracy of Neural Network on Functional models and correlate with HW implementation Be part of discussions in defining the next gen HW accelerators Research on various numerics related to Machine Learning, optimizing it based on design and performance constraints Essential Experience in embedded Computer Vision (Open CV), SIMD, and parallel computing, with a deep understanding of CV algorithms and multimedia image formats Fluent in working with Python Fluent in C and C++ as well as experience in CUDA Efficient in SW development in Linux, with a deep understanding of operating system e.g. Linux, Good knowledge in SoCs e.g. Tegra, with efficient use of Software development tools like debuggers Excellent written and verbal interpersonal skills and an eye for detail Good organization skills, with a logical approach to problem-solving, time management and ability to prioritize Ways to stand out from the crowd: Experience with visual geometry and deep learning in a shipping product context Worked on real-time Image Processing and/or computer vision systems Software development on embedded platforms or large scale cloud services Experience with GPGPU programming (CUDA and OpenGL) Worked on atleast one mainstream deep learning frameworks, including TensorFlow, Caffe(2), MXNet, PyTorch
Must Haves: Machine Learning, NLP/ Speech, Speech Analytics, Voice Processing, Dialog ManagementYou’re Awesome At – Working on designing, developing and augmenting ML models and algorithms. Designing, evaluating and overseeing implementations of our Machine Learning systems. Performing experiments and statistical analysis to draw conclusions and take modeling decisions. Understanding the situatedness of tasks and adapting existing techniques for the problem. You’ll Be Improving & Responsible For– Spoken Language Understanding and Dialog Management. Language semantics, parsing, and modeling across multiple languages. Speech Recognition, Speech Analytics and Voice Processing across multiple languages. Response Generation and Speech Synthesis. Active Learning, Monitoring and Observability mechanisms for deployments. Taking part in regular research reviews and discussions. Mentoring other team members. Creating and laying out internal roadmaps for the ML team. Architect and review programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems. Your Experience Across The Years in the Roles You’ve Played - 2+ years of industrial or academic experience. 2+ years of experience in Machine Learning, preferably in NLP/Speech. Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc. Ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point. Git portfolios and blogs are helpful as they let us better evaluate your work.
Job Description: • Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images to extract relevant text information. • Familiarity with deep learning frameworks such as TensorFlow, Keras, and torch. • Knowledge of tesseract working and fine-tuning. • Document and text extraction. • Image segmentation, object detection, and recognition. • Python Programming is a must, c/c++ is an advantage. • Strong fundamentals in mathematics, especially in linear algebra and computational geometry. • Strong in Image and computer vision-related libraries such as OpenCV, PIL, Dlib, matplotlib, Tensorflow, Pytorch etc. • Developing state of the art models and algorithms. • Hands on experience in CNN and LSTM based models. • Engineering ability to build robustly scalable pipelines. Experience in high performance production (inference pipelines) using tensorRT.• A solid foundation in Python, data structures, algorithms and general software development skills.
Selected candidates day-to-day responsibilities include: Working on computer vision/image processing applications like object classification, segmentation, etc. Working on deep learning algorithms for machine vision based inspection usecases Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data Having full stack development experience will be plus
Are you looking to work in a fast-paced technology company that helps you grow in your career? A job that allows you to be part of a high-growth passionate environment that rewards your hard work with extremely aggressive learning? Come to work in the VizExperts' R&D team and be a part of our growth story! The VizExperts! (https://www.vizexperts.com) VizExperts works in high growth areas like Virtual & Augmented Reality. We serve Global & Domestic Enterprise customers on their Digital Transformation journey. VizExperts has a cool & innovative product profile with infinite growth opportunities awaiting you! We have been voted as the top Virtual Reality company in Asia Pacific and are growing fast into new markets with our cool new product, Exxar. We have our global presence along with headquarters in USA, Malaysia and Bangladesh. Product ( https://www.exxar.cloud ) Exxar is a product line that accelerates Digital Transformation for enterprise clients. Exxar CAD is a SAAS software product that works alongside CAD applications and transforms them into a VR-enabled Design Review & Validation tool. A large number of clients have adopted this technology in the Manufacturing (Automotive, Shipbuilding, Railways, Heavy Engineering) and Engineering Education (IITs, private engineering colleges) verticals. Graphics Developer We are looking for smart engineers with knowledge and passion for Interactive Graphics Development technologies to work on our exciting advanced technology. This position is for our Gurgaon R&D center. The person should have hands on experience or very good working knowledge in C++ (mandatory) OpenGL (Preferred) Optional (Directx, CUDA, Openscenegraph, Glut, OpenCV, WebGL) Benefits include: - Structured training program - Fee Reimbursement for continued education - Flexible timings and supportive work culture Ready to join us on this exciting journey? We are scheduling interviews instant job offers for candidates who qualify our hiring criteria.
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis. You will be responsible for: Developing computer vision algorithms to detect key moments within popular online games Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis Experience using Python, TensorFlow, OpenCV and other computer vision tools Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc. Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets. Salary: Will be commensurate with experience.
Emproto Technologies is a fast growing software development firm founded by IIM Graduates. We are looking for good Image Processing Engineers to join our team.
About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - We at artivatic are seeking for passionate, talented and research focused computer engineer with strong machine learning and computer vision background to help build industry-leading technology with a focus in document text extraction and parsing using OCR across different languages.Qualifications :- Bachelors or Master degree in Computer Science, Computer vision or related field with specialization in Image Processing or machine learning.- Research experience in Deep Learning models for Image processing or OCR related field is preferred.- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus.Required Skills :- Excellent skills developing in Python in Linux environment. Programming skills with multi-threaded GPU Cuda computing and API Solutions.- Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images.- Good knowledge of Computer Science, math and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.- Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.- Familiarity with OpenCV, Dlib, Yolo, Capslule Network or similar and Open Source AR platforms and products- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed in software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in- Document and Text Extraction.- Image recognition, Object Identification and Visual Recognition - Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.- Be responsible for measuring and optimizing the quality of your algorithmsExperience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore
Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.
Looking for developer interested to do R&D work on 2D imaging experimenting deep with opencv libraries and optimizing those for mobile devices.