Major responsibilities Use Machine Learning, Deep Learning, Reinforcement Learning, statistical techniques to create scalable solutions for business problems. Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes Work closely with software engineering teams to model real-time experiments, implementations and new feature creations Work closely with business staff to optimize various business operations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Track general business activity and provide clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches. Basic Qualifications PhD in CS Machine Learning, Statistics, or in a highly quantitative field Experience with deep learning and sequence modeling 8+ years of hands-on experience in machine learning and large data analysis 8+ years of experience using Python, Java, C++, SQL in a Linux/UNIX environment Proven record of delivering results Strong communication and data presentation skills Strong problem solving ability Ram Mobile : +91 98 1845 4080 / 98 6860 9864 (ref:hirist.tech) Show more Show less

Basic Qualifications Post-Graduate degree in engineering, computer science, or mathematics, and 5+ years of related experience. Deep theoretical knowledge and hands-on experiences in computer vision, image processing and machine learning including scale invariant descriptors, high-dimension classifiers, Deep learning methods. Experience with OCR and document lifecycle management Ability to rapidly prototype and evaluate algorithms Ability to develop practical solutions to complex problems Strong technical expertise in C++ Understanding of Multi-threading, concurrency, parallelism and synchronization Experience with code and memory profiling tools and practices Experience with build and configuration tools Experience in Distributed computing platforms will be a plus Excellent written and verbal technical communication. Able to explain complex solutions in easy-to-understand terms Resourceful, collaborative, creative, results driven and adaptable team player. Preferred Qualifications PhD / MTech in computer vision, machine learning, or related discipline, with at least 2 years of industry experience Experience in Distributed computing platforms Experience in developing small foot print vision algorithms on Mobile platforms Ram Mobile : +91 98 1845 4080 / 98 6860 9864 (ref:hirist.tech) Show more Show less

As an Image Analysis Scientist specializing in Image Processing and Pattern Recognition for 2D/3D Biometric Applications, you should hold a graduate degree, preferably a Ph.D., in engineering related to signal/image processing. With 8 to 12 years of experience in algorithm design/development and proven commercial product expertise in at least three of the following fields (2D/3D face recognition, IRIS, Finger print, Behavioral biometrics), you are well-equipped to excel in this role. Having completed at least one product cycle in the biometrics field, you demonstrate a methodical approach and possess the ability to thrive in an environment of innovation within biometric applications. Your proven expertise in biometrics, evidenced through relevant publications, sets you apart in this field. Additionally, knowledge of sensors/AFE and experience in designing/developing image analysis algorithms are essential for success in this position. Proficiency in C/C++ is highly desirable for this role, enabling you to contribute effectively to the development and implementation of image analysis algorithms. Your dedication to staying updated with the latest advancements in the field and your commitment to innovation will drive the success of biometric applications under your purview. If you are passionate about leveraging your skills and experience to make significant contributions to the field of image analysis and biometrics, we encourage you to apply for this exciting opportunity. Please contact Ram at +91 98 1845 4080 / 98 6860 9864 for further details or to express your interest in this position.,