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.,
Role Overview: 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. Key Responsibilities: - Hold a graduate degree, preferably a Ph.D., in engineering related to signal/image processing - Have 8 to 12 years of experience in algorithm design/development - Possess proven commercial product expertise in at least three of the following fields: 2D/3D face recognition, IRIS, Finger print, Behavioral biometrics - Demonstrate a methodical approach and thrive in an environment of innovation within biometric applications - Stay updated with the latest advancements in the field and commit to innovation to drive the success of biometric applications - Proficiency in C/C++ is highly desirable for contributing effectively to the development and implementation of image analysis algorithms Qualifications Required: - Hold a graduate degree, preferably a Ph.D., in engineering related to signal/image processing - Have 8 to 12 years of experience in algorithm design/development - Possess proven commercial product expertise in at least three of the following fields: 2D/3D face recognition, IRIS, Finger print, Behavioral biometrics - Demonstrate knowledge of sensors/AFE and experience in designing/developing image analysis algorithms Additional Company Details: Omitting this section as no additional details of the company are mentioned in the provided job description.,
You have a very good academic background in wireless communication systems with a focus on the physical layer. Your experience includes design, simulations, and development of technologies such as TDMA, CDMA, and OFDMA systems. You possess a deep understanding of 3GPP access stratum protocols for the physical layer system. Your analytical and debugging skills are very good, and you have extensive experience in utilizing different tools. Additionally, you have strong knowledge in C/C++ programming with a basic understanding of processor architecture and programming. You also have experience with SDLC. Key Responsibilities: - Design, simulate, and develop physical layer technologies such as TDMA, CDMA, and OFDMA systems - Understand and implement 3GPP access stratum protocols for the physical layer system - Utilize analytical and debugging skills to troubleshoot issues - Utilize various tools effectively for the tasks at hand - Program in C/C++ with a basic understanding of processor architecture - Work with SDLC processes Qualifications Required: - Strong academic background in wireless communication systems with a focus on the physical layer - Experience in physical layer design, simulations, and development - Understanding of 3GPP access stratum protocols - Analytical and debugging skills - Proficiency in C/C++ programming - Familiarity with processor architecture and programming - Experience with SDLC Please note that the additional details of the company were not provided in the job description.,
As an Image Analysis Scientist, you will be responsible for working on image processing and pattern recognition for 2D/3D biometric applications. Your role will involve algorithm design and development in the areas of 2D/3D face recognition, IRIS, Finger print, and Behavioral biometrics. It is preferred that you hold a graduate degree, preferably a Ph.D., in engineering related to signal/image processing. You should have 8 to 12 years of experience in algorithm design and development, with commercial product experience in at least three of the mentioned biometric fields. Key Responsibilities: - Develop and design image analysis algorithms for biometric applications. - Demonstrate a methodical approach and thrive in an innovative biometric application environment. - Show proven expertise in biometrics through relevant publications. - Possess sensor/AFE knowledge. - Utilize C/C++ knowledge for algorithm development. Qualifications Required: - Graduate degree, preferably a Ph.D., in engineering related to signal/image processing. - 8 to 12 years of experience in algorithm design/development with commercial product experience in biometrics. - Experience in at least three of the following fields: 2D/3D face recognition, IRIS, Finger print, Behavioral biometrics. - Previous involvement in at least one product cycle in the biometrics field. Please note that the company's additional details were not provided in the job description.,
You have a great opportunity to work in the field of C, C++ (QT, Boost, Design Patterns) with a focus on Image Processing, Visualization, Algorithms, Signal Processing, and UI Development. It would be desirable if you have experience in Biomedical Image/Signal Processing and Clinical Application development. Your role will involve working with tools such as VTK, OpenGL, ITK, CGal, OpenInventor, OpenCV, OpenMesh, ImageJ, and DICOM. Your proven application development record in image processing, visualization, or related areas will be beneficial. Key Responsibilities: - Work on developing software applications in the field of Biomedical Image/Signal Processing - Collaborate with cross-functional teams for the development of innovative solutions - Utilize tools such as VTK, OpenGL, ITK, CGal, OpenInventor, OpenCV, OpenMesh, ImageJ, and DICOM - Engage with clinicians to understand their requirements and incorporate them into software applications Qualifications Required: - 5 to 10 years of experience in application development - Strong knowledge of C, C++, QT, Boost, and Design Patterns - Experience in working with Biomedical Image/Signal Processing and Clinical Applications - Familiarity with tools such as VTK, OpenGL, ITK, CGal, OpenInventor, OpenCV, OpenMesh, ImageJ, and DICOM - Domain knowledge of MR (Stroke, Metastatis, Cartilage, Dementia related Clinical applications) If you are passionate about biomedical image processing and eager to work in a collaborative environment with clinicians, this role is perfect for you.,
As a Research Software Engineer at our company, your role involves building and developing systems that showcase the latest research technology to address real-time NLP challenges. You will be participating in both basic and applied research projects focusing on text analytics and machine learning. Your responsibilities will include identifying new research opportunities, devising innovative solutions to research problems, and leveraging creativity and adaptability to stay ahead of competition and meet evolving customer needs. Key Responsibilities: - Participate in basic and applied research on text analytics and machine learning projects - Identify new research opportunities and develop innovative technology solutions - Utilize creativity and adaptability to anticipate competition moves and market changes Qualifications Required: - Proficiency in coding with at least one object-oriented language (e.g. Java, C#, C++) - Proficiency in coding with at least one scripted language (e.g. Python, Perl) - Strong foundation in data structures, algorithms, and software design - Experience in machine learning, text classification, information extraction, and Noun Entity Resolution with a keen interest in natural language processing - Self-driven and agile work preference - Minimum 10 years of relevant work experience, including hands-on technical experience - Demonstrated ability to take bold initiatives, solve complex problems, prioritize tasks, and make decisions Preferred Qualifications: - Extensive background in algorithms and strong software architecture skills - MS/Ph.D in Computational Linguistics or machine learning - Excellent communication skills - Demonstrated expertise in problem-solving and technical innovation Please note: The mentioned contact details are not relevant to the job description provided.,
As an R&D Architect specializing in Biometric technology, you will be responsible for developing biometric sensors such as finger vein and Iris. Your role will involve working on image processing and pattern recognition projects to enhance biometric security measures. Key Responsibilities: - Develop biometric sensors focusing on finger vein and Iris technology - Implement image processing techniques to enhance biometric security - Utilize pattern recognition algorithms to improve biometric authentication systems Qualifications Required: - Extensive experience in developing biometric sensors - Strong background in image processing and pattern recognition - Proficiency in Biometric technologies such as finger vein and Iris Kindly note that the contact information for this job opportunity is as follows: Ram Mobile: +91 98 1845 4080 / 98 6860 9864 Please feel free to reach out for further details or to express your interest in this position.,
As a candidate for this position, you will be expected to have a PhD in the domain of energy management, especially for smart home and building environments. It is preferable to also have a master's degree in the same domain. Your role will involve the following key responsibilities: - Thorough 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. - Sound mathematical modeling skills to model energy management scenarios effectively. - Proficiency in understanding energy consumption, storage, and production internals for smart devices like AC, HVAC, Solar Panel, Energy Storing Batteries, Smart Switch Panels, and Smart Plugs commonly used for energy management. - Deep understanding of natural human behaviors in relation to energy consumption, including factors like presence, indoor positioning, weather, comfort, and clothing. - Proficiency in ML/DL algorithms and their implementation in the domain of smart home/building energy management, as well as expertise in using related libraries such as Tensorflow, PyTorch, and Scikit-learn in Python and R. - Good programming skills in the energy-specific domain are highly desirable. - Proven track record of research in the energy management domain is a must. If there are any additional details about the company in the job description, please provide them and I will include them as well.,
As a candidate for this position, you should have a PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field. You must also possess at least 3 years of experience in understanding and implementing algorithms in computer vision using both toolkits and self-developed code. It is essential to have a minimum of 1 year of experience in Java, C++, or other programming language, as well as with R, MATLAB, Python, or a similar scripting language. Hands-on experience in building DNN, CNN, LSTM models and using commercial frameworks like TensorFlow, Caffe, or Theano is crucial. You should also be able to define ground truth (data definition & rules), training & validation data sets. Excellent written and verbal communication skills are necessary for effective communication to both technical and nontechnical audiences. Moreover, strong problem-solving abilities are a key requirement. Key Responsibilities: - Hold a PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field - Possess at least 3 years of experience in understanding and implementing algorithms in computer vision - Have hands-on experience in building DNN, CNN, LSTM models - Define ground truth, training & validation data sets - Excellent written and verbal communication skills - Strong problem-solving abilities Qualifications Required: - PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field - Minimum of 3 years of experience in understanding and implementing algorithms in computer vision - Hands-on experience in building DNN, CNN, LSTM models - Experience with commercial frameworks like TensorFlow, Caffe, or Theano - Strong problem-solving abilities - Excellent written and verbal communication skills Please note that the company's additional details were not provided in the job description.,
As a candidate for the position, you should hold a Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science, or a related field with publications in refereed academic journals. Additionally, you should have at least 5 to 15 years of experience in solving complicated optimization and machine learning problems for transportation networks or related disciplines, developing a strategy for large-scale networks. Key Responsibilities: - Design and implement transportation optimization models focusing on volume and route planning, re-planning, labor, and facilities planning. - Utilize excellent communication skills, both written and oral, to effectively interact with technical and business individuals at an appropriate level. - Apply expertise in smooth and non-smooth optimization methods, utilizing tools such as CPLEX, Gurobi, and XPRESS. - Implement exact, approximation algorithms, and heuristic methods for solving challenging optimization problems like vehicle routing and network design problems. - Develop models and tools using high-level modeling languages such as AMPL, Mosel, R, and Matlab. - Prototype and develop software in traditional programming languages like C++, Java, Clojure, Python. - Demonstrate familiarity with SQL and experience with very large-scale data, with the ability to manipulate data using scripts like Perl, Ruby, and Groovy. - Utilize statistical analysis, machine learning, and data-modeling in a database environment to enhance your skills. - Exhibit excellent judgment, relentlessly high standards, and the ability to inspire passion in others. Qualifications Required: - Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science, or a related field. - 5 to 15 years of experience in solving optimization and machine learning problems for transportation networks. - Strong communication skills for technical and business interactions. - Knowledge of optimization methods, tools, and programming languages. - Familiarity with SQL and experience in handling large-scale data. - Ability to inspire passion and exhibit excellent judgment. (Note: The job description did not include any additional details about the company.),