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.,
You should possess a Post-Graduate degree in engineering, computer science, or mathematics, along with more than 5 years of relevant experience. Your knowledge should encompass computer vision, image processing, and machine learning, including scale invariant descriptors, high-dimension classifiers, and Deep learning methods. Previous experience with OCR and document lifecycle management will be beneficial. Your role will require you to swiftly prototype and assess algorithms, as well as devise practical solutions for intricate problems. Proficiency in C++ and an understanding of Multi-threading, concurrency, parallelism, and synchronization are essential. You should also have experience with code and memory profiling tools, build and configuration tools, and Distributed computing platforms. Moreover, exceptional written and verbal technical communication skills are crucial. You should be adept at simplifying complex solutions into easy-to-understand terms. Being resourceful, collaborative, creative, results-driven, and an adaptable team player are qualities that will be highly valued. For preferred qualifications, a PhD or MTech in computer vision, machine learning, or a related discipline, with a minimum of 2 years of industry experience is desirable. Additionally, experience in Distributed computing platforms and developing compact vision algorithms on Mobile platforms would be advantageous. If you meet these qualifications and possess the aforementioned skills and attributes, we look forward to the possibility of you joining our team.,
As an Android Application and Service/API Developer, you will be responsible for developing applications and services in Managed code (Java, Kotlin) as well as Native code (C/C++). Your expertise in Android Framework internals, including Window Manager, Activity Manager, OOM/LMK, System Services, and interface development, will be crucial for the success of the projects. You will need to ensure compliance with Android R/Generic Kernel Image (GKI) standards through GKI compliant Kernel driver development, Kernel stability assurance, and support. Additionally, your role will involve the development of Kernel memory management modules and Android Vendor Modules. Collaborating with the core development team, you will work on system power and performance management solutions at both the Android kernel and framework levels. End-to-end integration of developed functionality to native/managed clients and the creation of system and unit test cases for the modules developed will be part of your responsibilities. Your leadership skills will be essential for driving module ownership and completion, as well as for stakeholder management. Good communication and teamwork are valuable assets that will contribute to the successful commercialization of solutions and the resolution of commercialization issues. Overall, your role will require a deep understanding of Android application development, system integration, power/performance/thermal solution integration, and a proactive approach to problem-solving and project management.,
As an R&D Architect specialized in Biometric technology, you will be responsible for working on Image Processing and Pattern Recognition projects. Your role will involve extensive experience in developing biometric sensors such as finger vein and iris recognition technology. The ideal candidate should have a strong background in the field and a proven track record of successful projects in this domain. If you are passionate about pushing the boundaries of biometric technology and have a keen interest in image processing and pattern recognition, this role is perfect for you. Join our team and be part of cutting-edge projects that are shaping the future of biometric security. For more details, kindly reach out to Ram at Mobile: +91 98 1845 4080 / 98 6860 9864.,
As a skilled individual with a B.Tech/M.Tech/PhD in Electrical/Electronics/Computer Science and a minimum of 8 years of work experience in Computer Vision, Image Processing, Signal Processing, or Machine Learning, you will be responsible for developing innovative algorithms to overcome complex 3D computer vision and Augmented Reality challenges. Your primary goal will be to enhance the user experience of Mobile Camera applications. Your role will involve creating high-performance ML/DL models optimized for real-time applications while consistently striving to enhance the developed solutions for seamless integration with end-users. You will be expected to conduct thorough quality evaluations and regression testing to ensure compliance with stringent quality standards. Active participation in design discussions to contribute to the end-to-end development process, as well as the enthusiastic promotion of new patent ideas and the publication of top-tier conference/journal papers, will be essential aspects of your responsibilities. Proficiency in Python/C++, strong knowledge of Signal Processing, Computer Vision, Machine Learning, Deep Learning, data structures, and algorithms, as well as experience with Deep Learning frameworks like TensorFlow/PyTorch are prerequisites for this role. Moreover, familiarity with embedded realization of ML models will be advantageous. Adherence to strict agile practices, including regular code reviews, will be crucial in ensuring the successful execution of projects. If you are passionate about innovation and eager to tackle challenging problems in the field of 3D computer vision and Augmented Reality, this role offers an exciting opportunity to make a significant impact.,
You should have a Ph.D. in relevant domains with expertise in Biometric Recognition technologies such as Fingerprint, Iris, and Vein, as well as experience in Augmented Reality (AR) and Virtual Reality (VR). Your background should include knowledge in Multi-view, Stereo, and Depth technologies. Ideally, you hold a degree in EE/Electrical Engineering, with either a BS or MS from a top US school. Your skill set should encompass expertise in Algorithms, Sensor technologies including array sensors, multi sensors, and 2PD sensors. Experience in Vision and Imaging, Computational Photography, and computer vision is essential. You should be well-versed in Image and Video Pipeline, Multimedia Frameworks, and Security protocols. Knowledge in Heterogeneous Computing, Graphical Processor Unit (GPU) design, and software frameworks like Open CV, OpenVX, OpenGL, and GPGPU is required. Familiarity with Codec design, particularly H.264/V8 designs, as well as 3D technologies, Hardware accelerators, and RTL design is beneficial. Experience in Display controllers, Display processing, Low Light video and image capture, and IPI CSI/MIPI-DSI working and design is a plus. If you possess the above qualifications, kindly get in touch with Ram at Mobile: +91 98 1845 4080 / 98 6860 9864 for further discussions. Please note: This job description was sourced from hirist.tech.,
You will be responsible for designing, developing, testing, and commercializing LTE Layer-2 (MAC) features on eNB. Your key responsibilities will include: - Software detail design and development of new features for LTE Layer-2 (MAC Scheduler) features on eNB Macro cells. - Optimizing platform specific memory and CPU cycles. - Defining development test cases and ensuring functional test coverage for new features. - Resolving issues during system integration test, system verification test, and field issues. - Providing technical guidance and mentoring to junior engineers in the team. To excel in this role, you should possess the following skills: - Strong background in Wireless communication. - A very good understanding of 3GPP LTE MAC and RLC specifications [36.321 and 36.322]. - Expertise in MAC Scheduling feature design and implementation for Macro eNB. - A good understanding of 3GPP features like CA, MIMO, CoMP, NB-IoT, eMTC, etc. - Familiarity with DSP/Cavium multicore platforms used on Macro eNB.,
You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specifically for image/video analysis and enhancement. A robust experience in software engineering, including a good understanding of software architecture, optimization, and programming patterns and paradigms, is expected. Proficiency in prototyping computer vision algorithms in C/C++ is preferred. The ideal candidate should have at least 3+ years of experience after completing a Master's degree or 0+ years of experience after obtaining a Ph.D. The role involves researching and developing algorithms for image and video processing, including facial analysis, object detection, scene analysis, concept recognition, etc., to extract rich and detailed context from images and videos. You will be responsible for implementing novel computer vision and machine learning techniques, improving performance, and extending the capabilities of existing products. Please reach out to Ram at +91 98 1845 4080 / 98 6860 9864 for further information or application. (Note: This job description was sourced from hirist.tech),
You should be a PhD holder in the field of energy management, particularly focusing on smart home and building environments. It would be preferred if you also possess a master's degree in the same domain. Your expertise should include a comprehensive understanding of energy management systems such as demand-response based energy management, time-of-day based energy management, and energy profiling for smart home activities. You must have strong mathematical modeling skills to effectively model various energy management scenarios. Proficiency in the internal workings of energy consumption, storage, and production for smart devices like AC, HVAC, Solar Panel, Energy Storing Batteries, Smart Switch Panels, and Smart Plugs commonly used in energy management is essential. A deep understanding of natural human behaviors, such as presence, indoor positioning, and their impact on energy consumption, as well as other external factors like weather, comfort, and clothing, is crucial. In addition, you should have expertise in machine learning and deep learning algorithms for implementation in the field of smart home/building energy management and handling time series energy data. Proficiency in utilizing related libraries such as Tensorflow, PyTorch, Scikit-learn in languages like Python and R is required. A good programming skillset specific to the energy domain would be highly desirable. It is mandatory to have a proven track record of research in this particular domain.,