6 Tensorflow Lite Jobs

As a Firmware Engineer at KritiLabs, you will be responsible for designing, developing, testing, and debugging firmware for embedded systems using languages like Embedded C/C++ and Python. You will collaborate closely with hardware engineers to ensure compatibility between firmware and electronic components. Your role will involve optimizing firmware for performance, memory usage, and power consumption, particularly when running machine-learning models. You will also be tasked with understanding and integrating machine learning models for edge deployment, taking into consideration the resource constraints of the device. In addition, you will develop and implement unit tests for firmware modules and system integration testing. Documenting firmware design, development process, and test procedures will be part of your responsibilities. It is crucial to stay updated with the latest trends and advancements in embedded systems and machine learning for edge computing. To qualify for this role, you should hold a Bachelor's or Master's Degree in Electrical Engineering, Electronics and Communication Engineering, or a related field. A minimum of 2 years of experience in electronics firmware development is required. You should have a strong understanding of embedded systems architecture, including microcontrollers and peripherals. Proficiency in Embedded C/C++ and Python is essential, along with experience in using development tools for embedded systems such as IDEs and debuggers. Knowledge of machine learning concepts and frameworks is preferred, with bonus points for experience with TensorFlow Lite or similar platforms. Excellent problem-solving and analytical skills are necessary, along with strong written and verbal communication abilities. You should be able to work independently and collaborate effectively as part of a cross-functional team. At KritiLabs, we offer a collaborative culture where you will join a team of diverse professionals who inspire and support each other in achieving common goals. We provide opportunities for growth through training, mentorship programs, and career development initiatives. You will work on innovative projects that challenge conventional thinking and promote work-life balance with flexible arrangements. Our comprehensive benefits package includes health insurance, retirement plans, paid time off, and more. We believe in fostering a dynamic, innovative, and inclusive work environment where individual contributions are valued and celebrated. If you are passionate about making a difference and driving positive change in your field, we welcome you to join us in Chennai. English proficiency is mandatory, and knowledge of other languages is an added advantage.,

As a Senior AI Engineer with React Native expertise, you will be responsible for developing and integrating AI features using various LLMs such as Norah AI, OpenAI GPT, Google Gemini, and Claude. Your tasks will include creating AI-driven onboarding processes, recommendations, virtual assistants, and news digests. Additionally, you will implement instant voice translation through the Google Translate API, personalized notifications based on user preferences and location, and optimize AI models for mobile platforms like TensorFlow Lite and Core ML to ensure low latency, offline support, and battery efficiency. In the realm of React Native front-end development, you will be tasked with building responsive, cross-platform UI/UX features such as onboarding flows, event booking systems, concierge chat interfaces, and navigation components. You will integrate real-time functionalities like WebSockets, Firebase push notifications, and third-party APIs such as Almosafer, BlackLane, Uber, BLE beacons, and Marcom. Ensuring accessibility, security measures like OAuth and JWT, and cultural alignment for example, understanding Saudi etiquette will also be crucial aspects of your responsibilities. Your role will involve feature implementation across various areas including onboarding and personalization, booking and planning, concierge services and AI assistant functionalities, navigation and real-time capabilities, engagement and security features, as well as admin support for analytics, event monitoring, and emergency alerts. You will be required to test AI accuracy, bias, and mobile performance, optimizing for offline usage, real-time updates, and accessibility. Collaboration with cross-functional teams to align with MoT protocols and documenting AI pipelines and React Native code will be essential parts of your job. To qualify for this position, you should have at least 5 years of experience in AI engineering, with a minimum of 3 years of experience integrating AI into React Native mobile apps for iOS and Android platforms. You should possess expertise in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as well as familiarity with LLMs such as OpenAI and Google Gemini. Proficiency in React Native, JavaScript/TypeScript, Redux, and UI libraries like React Native Elements is required. Strong skills in API integrations, voice APIs like Google Translate, real-time systems, and secure authentication methods are also necessary. Knowledge of mobile AI optimization techniques and navigation technologies is a plus. A Bachelor's or Master's degree in Computer Science, AI/ML, or a related field is preferred for this role. In addition to technical skills, you should have strong problem-solving abilities, collaboration skills, and effective communication with both technical and non-technical stakeholders. This is a full-time position located in person. When applying, please specify your notice period and total experience of 4 years.,

Position: AI & Electronics Controls Intern (In-Person, Full time) Location: Nagpur, Maharashtra Type: Internship (36 months, On-site) Start Date: Immediate Stipend: ?5,000/month Company: Softform.in Engineering Consulting & Technology Solutions About the Role: Softform.in is looking for a hands-on, technically curious AI & Electronics Controls Intern to support the development of advanced hardware systems. Youll contribute to TerraSuit a wearable microclimate system as well as work on real-time AI visual processing projects involving object detection, tracking, and user assistance. Youll be working on embedded platforms like Arduino, ESP32, and Raspberry Pi, combining traditional electronics with AI integration. Key Responsibilities: Build and test embedded systems using Arduino, ESP32, and Raspberry Pi Program sensors, actuators, and control logic (PWM, feedback loops, etc.) Integrate visual AI modules (e.g., object detection, gesture recognition) using OpenCV, TensorFlow Lite, or Edge Impulse Work on camera integration for real-time perception and user-assist features Prototype and debug low-power systems and handle battery/power management Assist with PCB prototyping, wiring, soldering, and system testing Collaborate with software, mechanical, and AI teams to ensure system-level integration Requirements: Based in Nagpur or willing to relocate Comfortable with breadboards, soldering, multimeter, and basic diagnostic tools Pursuing or recently completed a degree in Electronics, Mechatronics, Instrumentation, Electrical, or a related field Familiarity with Arduino, ESP32, Raspberry Pi, and basic C/C++ or Python Comfortable working with sensors, actuators, and communication protocols (I2C, SPI, UART) Exposure to basic computer vision tools like OpenCV, MediaPipe, or Edge Impulse Working knowledge of AI tools (ChatGPT, Colab, Notion AI, etc.) Preferred (Bonus): Experience deploying AI models to ESP32-CAM or Raspberry Pi PCB design experience (KiCad, EasyEDA, etc.) Familiarity with wearable devices, IoT systems, or embedded Linux Experience with MQTT or HTTP-based device communication What Youll Gain: Experience building real-world AI-integrated hardware systems Mentorship from experienced engineers and exposure to full product development cycles Internship certificate, strong recommendation, and possible full-time offer How to Apply: Apply on Linkedin or send your resume to [HIDDEN TEXT] with subject AI Intern application. "Application AI & Electronics Controls Intern" (Optional: Include links to GitHub, projects, or a short note on your interest in the role) Show more Show less

You are a highly skilled ChatGPT Developer with expertise in AI development, web technologies, and iOS mobile app development. Your main responsibility will be designing, developing, and integrating ChatGPT-based AI solutions into web and mobile applications. To excel in this role, you must have a deep understanding of natural language processing (NLP), machine learning (ML), API development, and user experience across various platforms. In the realm of AI & Chatbot Development, you will be tasked with designing and developing AI-powered chatbot solutions using ChatGPT, OpenAI APIs, or similar NLP frameworks. Your goal is to implement conversational AI models that enhance user interactions across web and iOS applications. Additionally, you will train and fine-tune language models to provide better responses, personalization, and user engagement. Moreover, you will implement AI-driven recommendation systems, sentiment analysis, and automated workflows. When it comes to Web Development & Integration, your role involves developing and integrating ChatGPT-powered chatbots into web applications using technologies such as React, Angular, or Vue.js. You will also be responsible for building RESTful and GraphQL APIs to facilitate seamless communication between AI models and frontend applications. Your focus will be on ensuring responsive, scalable, and high-performing web applications that seamlessly integrate AI functionalities. You will collaborate with cloud platforms like Azure, AWS, or Google Cloud to deploy AI models and services effectively. In the iOS Mobile Development domain, you will develop and integrate ChatGPT-powered chatbots into iOS applications using Swift, SwiftUI, or Objective-C. Your task is to optimize AI chatbot interactions to provide mobile-friendly experiences. Furthermore, you will implement features such as push notifications, voice input, and AI-driven automation to enhance mobile user engagement. Your ultimate goal is to ensure seamless performance across various iOS devices and OS versions. To thrive in this role, you must possess strong expertise in ChatGPT, OpenAI APIs, NLP, and AI model integration. You should have experience in Python, TensorFlow, PyTorch, or LangChain for AI model development. Proficiency in web development technologies like React, Angular, Vue.js, and Node.js is essential. Moreover, you must have a solid background in iOS development using Swift, SwiftUI, and Objective-C. Hands-on experience with cloud-based AI services such as Azure AI, AWS AI, and Google AI is highly beneficial. Additionally, familiarity with database management, RESTful APIs, GraphQL, WebSockets, and serverless computing will be advantageous. Preferred qualifications include experience with speech-to-text and voice assistant technologies, familiarity with mobile AI SDKs like Core ML, TensorFlow Lite, and Apple Neural Engine, as well as knowledge of AI ethics, security, and privacy considerations. Certifications in AI, web, or iOS development (e.g., OpenAI, AWS AI, Microsoft AI) are considered a plus. In terms of educational qualifications, a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field is required. Relevant certifications in AI, web, or mobile development will be beneficial for this role.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. As an Edge AI Data Scientist, you will be responsible for designing, developing, and validating machine learning models, particularly in the domain of computer vision, for deployment on edge devices. This role entails working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. Collaboration with embedded systems and AI engineers is essential to ensure that models are lightweight, efficient, and hardware-compatible. To be successful in this role, you should have a Bachelor's or Master's degree in Data Science, Computer Science, or a related field, along with at least 3 years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference, familiarity with video/image datasets, and deep learning model training are also required. Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI is essential. Additionally, you should have experience with model optimization techniques (quantization, pruning, etc.) for edge devices, deployment tools like TensorFlow Lite, ONNX, or OpenVINO, and a strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms, processing data from camera feeds or embedded image sensors, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams are all important skills for this role. Your responsibilities will include developing and training computer vision models tailored for constrained edge environments, analyzing camera and sensor data to extract insights and build vision-based ML pipelines, optimizing model architecture and performance for real-time inference on edge hardware, validating and benchmarking model performance on various embedded platforms, collaborating with embedded engineers to integrate models into real-world hardware setups, and staying up-to-date with state-of-the-art computer vision and Edge AI advancements. At Capgemini, we value flexible work arrangements to provide support for maintaining a healthy work-life balance. Our focus is on your career growth, offering a variety of career growth programs and diverse professions to support you in exploring a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a team of over 340,000 members in more than 50 countries, Capgemini leverages its 55-year heritage to deliver end-to-end services and solutions utilizing strengths from strategy and design to engineering, with market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,

What You ll Be Doing: Provide advanced engineering design service and support to regional engineering team on embedded hardware including processors, FPGA and software design support. Collaborate with customers to develop, test, and debug firmware, assist with code creation, driver development on MCUs based on ARM Cortex, RISC-V, and proprietary cores. Assist customers to configure and customize embedded Linux systems, including kernel configuration, device drivers, middleware integration, and real-time patches. Design technical demonstrations, including Proof of Concepts (PoC), showcasing microcontroller/microprocessor, FPGA capabilities in real-world applications. Create high-quality documentation, including technical guides, application notes, and training materials, for internal and external use. Share technical expertise by delivering training sessions and workshops for internal engineers and customers. Attend technical and sales training in efforts to stay abreast of current technology. Develop product performance specifications and product development roadmaps Ensure accurate documentation of engineering designs and solutions for future reference. What We Are Looking For: Bachelor s Degree or higher in Electronics/Electrical Engineering, Computer Science, or a related engineering field. Minimum 7 years of experience in electronics, semiconductors, embedded processors, and FPGA design. Proven experience in firmware development across multiple microcontroller platforms based on ARM Cortex, RISC-V, and proprietary cores. Advanced proficiency in C/C++ for embedded systems; familiarity with Python. Experience with kernel debugging, device tree customization, and interfacing hardware peripherals through custom drivers. Proficiency in VHDL and Verilog; knowledge of System Verilog or High-Level Synthesis (HLS) is a plus. Hands-on experience deploying machine learning models on MPUs using tools like TensorFlow Lite, OpenCV, or ONNX Runtime. Excellent problem-solving skills and a proactive approach to technical challenges. Strong communication and teamwork skills to work effectively with customers and internal teams. Passion for innovation and commitment to delivering high-quality engineering solutions. What s In It For You: Training and professional development Performance coaching Work with fun team in a supportive environment. Work at a strong and growing company Community involvement opportunities