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).
Job Description: We are seeking a highly motivated and skilled Machine Vision Engineer with 1-4 years of experience in the domains of machine vision/computer vision. As a Computer Vision Engineer, you will play a key role in developing and implementing cutting-edge vision systems for real-time industrial use cases. Responsibilities: 1. Design, develop, and optimize machine vision algorithms. 2. Collaborate with cross-functional teams to understand project requirements and contribute to the development of vision-based applications. 3. Work on image/video processing, feature extraction, object detection, and recognition algorithms. 4. Implement and deploy machine vision solutions for real-world applications. 5. Conduct testing and validation of vision systems to ensure robust performance. 6. Stay updated on the latest advancements in computer vision and DL/ML technologies. Qualifications: 1. Bachelor's or Master's degree in Computer Science, Electronics Engineering, or a related field. 2. Proven experience of 1-3 years in machine vision domain. 3. Strong programming skills in languages such as Python, etc. 4. Knowledge of image processing libraries and frameworks (OpenCV, SciPy, etc.). 5. Familiarity with hardware integration for vision systems. 6. Excellent problem-solving skills and attention to detail. 7. Good communication and collaboration skills. Additional Skills (Preferred): 1. Experience with deep learning techniques for computer vision. 2. Knowledge of 3D vision and point cloud processing. 4. Understanding of industrial automation and robotics. 5. Experience working with thermal cameras 6. PLC programming If you are passionate about pushing the boundaries of machine vision DL/ML technologies, we encourage you to apply. Join our dynamic team and contribute to the development of innovative solutions in the field of computer vision.
Role & responsibilities 1. Create functional safety goals and cascade requirements in adherence to ISO 26262 2. Develop safety related documentation including safety plan, safety case, item definitions, HARAs, FTAs, DFMEAs and similar 3. Ensure all safety related requirements are defined, complete and traceable through to verification and validation 4. Work with independent reviewers to audit and ensure functional safety compliance 5. General Duties 6. Undertake any other duties / tasks assigned, which may include providing support to other departments. 7. Suggest & implement approved improvements to company processes 8. Represent Plastic Omnium in a professional manner 9. Be knowledgeable about the full range of Plastic Omnium work 10. Health & Safety 11. To follow all Health and Safety procedures. 12. To identify any Health & Safety concerns in your day-to-day work and escalate as appropriate. REQUIREMENTS Essential 1. Working knowledge of the Systems Engineering V-model 2. A good understanding of electric drivetrain architectures and familiarity with different types of components such as batteries, motors, power electronics Skills & Experience 1. Engineering experience throughout an entire product lifecycle minimum 8 - 12 years 2. Significant experience of ISO 26262 preferably within an automotive OEM or Tier 1 supplier 3. Good data presentation skills (reporting and documentation) 4. Well organized, comfortable following process and excellent attention to detail Desirable 1. Experience in other functional safety standards for non-automotive applications e.g. ISO 50657 2. Knowledge and experience of failure mode avoidance processes including DFMEAs and Fault Tree Analysis throughout the product engineering lifecycle, from concept to production 3. Experience in using requirements management systems such as DOORS or Codebeamer, similar Prior use of software tools designed for functional safety such as Ansys Medini Analyze Experience assessing and understanding system models e.g. SysML or RAAML in tools such as Sparx Enterprise Architect, IBM Rhapsody Experience in software quality and process e.g. ASPICE Experience in developing and working to a Design Verification Plan
Qualification: Bachelor's/Master's in computer science,Electronics,or related field 2-5 years of hands on experience in Data Scientist Strong problem solving, communication, and collaboration skills, Preferred Skills: Experience in developing Classical ML & DL models Do Data Analytics Run AI models on Edge devices (Raspberry Pi, QUALCOMM boards)
Role & responsibilities Proficient in C++ programming , Embedded Development and modern data structures. Experience of object-oriented principles, memory management, and common design patterns.STL Experience with software development tools: Jenkins/ Git. In-depth understanding of SDLC and software compliance processes. Excellent analytical and problem-solving skills. NOTE Should have good hands on experience in Embedded development Not in application
Role & responsibilities Embedded SW Engineering background with strong python programming skills. Pre and Post-silicon level expertise an ARM cores,DMAs,fabrics,etc . Performance validation experience Strong experience and expertise on boat-flow and device driver development for linux Familiarity with Emulators and Waveform based debugs Familiarity with debugging performance issues/ bottleneck analysis Familiarity with Python and shell scripting on Yami & JSON data base
Role & responsibilities Implementation & Configuration: Lead the design, configuration, and deployment of SAP Material Management / Inventory Management / Extended Warehouse Management (EWM) modules in SAP S/4HANA. • Client Consultation: Work directly with clients to gather requirements, analyze business processes, and deliver customized SAP MM / IM / EWM solutions that optimize procurements, logistics, sales, order processing, and distribution workflows. • Business Process Analysis: Analyze and understand clients procurements, logistics, sales and distribution processes and propose solutions leveraging SAP MM / IM / EWM best practices and SAP Cloud capabilities. • Cloud Integration: Ensure effective integration between SAP MM / IM / EWM and other SAP Cloud modules such as SAP sales and Distribution (SD), SAP FICO (Finance), and third-party applications. • Testing & Quality Assurance: Support system testing, user acceptance testing (UAT), and troubleshooting during implementation to ensure that the solution meets business requirements. • Training & Support: Provide end-user training and deliver post-implementation support, including troubleshooting and issue resolution. • Continuous Improvement: Continuously optimize and enhance the SAP MM / IM / EWM solution to meet evolving business needs and industry trends. • Documentation & Knowledge Transfer: Create and maintain documentation for configurations, processes, and custom developments for future reference and client knowledge transfer. • Collaboration: Work closely with other consultants, developers, and project teams to deliver integrated solutions on time and within budget. • Project Management Support: Assist project managers in defining scope, timelines, and deliverables for SAP MM / IM / EWM implementations in a cloud environment. SAP S4HANA public cloud experience will be added advantage
Role & responsibilities Experience as an SAP SD Functional Consultant, with at least 1 full-cycle S/4HANA public/private implementation . Experience With Master Data Management- Business Partner& Product Master, credit management, billing, and Logistics . Work with business stakeholders to understand sales and distribution processes. Analyze and document business processes and identify areas for improvement. Support go-live activities and provide post-implementation support. Ability to work individually and collaborate with a team. Interface knowledge with SAP and Non-SAP systems. Training and Support: Providing end-user training on the SAP SD module and offering ongoing support and troubleshooting. Integration with Other Modules: Collaborating with other SAP teams (e.g., MM, FI) to ensure seamless integration of the SD module with other business processes. Interface knowledge with SAP Apis added advantage Familiarity with Fiori apps and SAP Activate methodology Conduct unit testing, integration testing, and support user acceptance testing (UAT). SAP S4HANA Public cloud experience is added advantage. Problem-Solving and Analytical Skills: Ability to analyze complex business requirements and translate them into effective SAP solutions.