Role & responsibilities Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Training, fine tuning and optimization of different flavors of transformer models Hands on experience with LLM, fine tuning and Optimization of LLM Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow/Keras framework Variations of CNN, RNN, Attention Mechanism, Transformers and large models like wav2vec, whisper Proficiency in machine learning/audio pre-processing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features, Numpy, Scipy, Pandas, Matplotlib. Signal Processing fundamentals, understanding the data characteristics and wave signals Transfer Learning Experience in Acoustic models for speech recognition systems. Experience in Voice activity detection with noise analysis & denoising Experience in WakeupWord, ASR Working experience of LLM fine tuning, optimization and performance improvement. Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices Experience in noise augmentation and mixing techniques
Role & responsibilities Proficiency in C/C++ programming Language and embedded System Development Experience in developing Board support package(BSPs) and Device driver for peripherals based on I2C, SPI, UART Knowledge of hardware platforms and system Architectures(ARM Arch, Vector table, Startup code, Boot loader Etc) Experience with debugging tools such as HW Debugger, Oscilloscope, Multi meter, Logical Analyzer. Knowledge in RTOS/FreeRTOS/ZephyRTOS/Linux
Role & responsibilities 7 to 8 years of hands-on experience in network engineering and migration. Proficiency in F5 technologies, particularly LTM and AWAF. Strong understanding of web protocols (HTTP/HTTPS, SSL/TLS) and application-layer security. Experience with WAF deployment and tuning for optimal protection. Familiarity with bot protection and DDoS mitigation strategies. Exposure to security analytics platforms such as SecureWorks is a plus. Excellent communication and interpersonal skills to work effectively in a collaborative environment. Preferred Qualifications: Relevant certifications such as F5 Certified Technology Specialist (F5-CTS), CISSP, or equivalent. Experience in cloud environments (AWS, Azure) is an added advantage.
Mode of Work : Office (Mandatory) Job Description: Expert in Dart & Flutter with a proven track record in production-grade app development Skilled in scalable architectures: Bloc, Provider, Riverpod, MVVM, Clean Architecture Deep native integration experience: Swift (iOS), Kotlin/Java (Android), Web, Windows Proficient in state management (Riverpod, Bloc, Provider) and RESTful API integration Strong testing skills: unit, widget, and integration tests (flutter_test, integration_test, Mockito) Experienced in app profiling: performance, memory, frame rendering, UI responsiveness Knowledge of app security best practices: secure storage, encryption, obfuscation Developed and maintained reusable Flutter packages/plugins (internal & open-source) Custom UI components and animations using Flutters rendering/animation systems Familiar with Flutter flavors: dev, staging, production CI/CD experience: GitHub Actions, Bitrise, automated testing & deployment Full app lifecycle ownership: architecture, development, release, monitoring, support Tools: Firebase Crashlytics, Firebase Analytics, Sentry for crash reporting and analytics Strong debugging and problem-solving skills in complex mobile systems Agile methodologies, Git version control, Jira, and Confluence experience
JD1 : BSP Embedded Development Experience:3 to 8years Location: Bangalore. Role & responsibilities Proficiency in C/C++ programming Language and embedded System Development Experience in developing Board support package(BSPs) and Device driver for peripherals based on I2C, SPI, UART Knowledge of hardware platforms and system Architectures(ARM Arch, Vector table, Startup code, Boot loader Etc) Experience with any debugging tools such as HW Debugger, Oscilloscope, Multi meter, Logical Analyzer. Experience any OS RTOS/FreeRTOS/ZephyRTOS/Linux. NOTE: candidate should have experience in Embedded project not in firmware project. JD2 : Embedded Development. Experience :2 to 5years Hands on experience in C++,Data Structure and problem solving Should have experience on Jenkins, GIT, SDLC compliance preferred experience in Automotive domain, Autosar, ASPICE
Role & Responsibilities Hands on Experience in Embedded C, C++ Platform: Linux Experience in any embedded product, preferably Automotive Ethernet , WiFi, Router, Networking, IoT etc. Experience in Ethernet Networking, Socket Programming, TCP/IP, UDP, SOMEIP Protocol Debugging skills.
Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow/Keras framework Variations of CNN, RNN, Attention Mechanism, Transformers and large models like wav2vec, whisper Proficiency in machine learning/audio pre-processing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features, Numpy, Scipy, Pandas, Matplotlib. Signal Processing fundamentals, understanding the data characteristics and wave signals Transfer Learning Experience in Acoustic models for speech recognition systems. Experience in Voice activity detection with noise analysis & denoising Experience in WakeupWord, ASR Working experience of LLM fine tuning, optimization and performance improvement.
* Strong Programming competency using C++, Python , Matlab * Excellent core experience with Ultrasonic Sensors, Time-of-flight, Signal Processing. * Experience in frameworks like ROS/ Open CV/ Sensor fusion frameworks. * Experience in Tools like Canalyzer / Simulink / GIT * Any experience into Deep learning for perception, embedded development, ML - based filtering will be an added advantage. Soft Skills : Systems thinking, Cross- functional collaboration, realtime debugging
Required Qualifications Bachelors or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 4–8 years of professional experience in embedded software development. Strong programming skills in C++ (C++11/14 or later preferred) . Solid understanding of Embedded Systems, RTOS concepts, device drivers, and low-level programming . Hands-on experience with FreeRTOS, SafeRTOS, or QNX . Hands-on experience with debugging tools (JTAG, oscilloscopes, logic analyzers, etc.). Familiarity with build systems (CMake, Makefiles) and version control (Git). Preferred / Nice-to-Have Skills Experience with Texas Instruments SoCs (e.g., Sitara, Jacinto, or DSP-based SoCs). Exposure to Linux kernel, BSP development, or Yocto build system . Knowledge of multicore programming, inter-processor communication, or hardware accelerators . Familiarity with unit testing frameworks and software quality standards (MISRA, ISO 26262 for automotive, etc.). Good understanding of communication protocols (I2C, SPI, UART, CAN, Ethernet).