8 Pytorch Mobile Jobs

About the Company At Capgemini, we believe that diverse perspectives drive innovation. We're committed to creating an inclusive workplace where everyone feels empowered to shape their career, supported by a global community of collaborators, and inspired to reimagine what's possible. About the Role As an AI/ML Expert, you will: Develop and optimize ML models for Android Automotive OS (ADAS, predictive maintenance, personalization). Build AI-powered applications across the automotive stackfrom HAL to APIs and frameworks. Collaborate with OEMs and partners to deploy ML solutions for navigation, voice interfaces, and robotics. Lead end-to-end AI/ML projects using TensorFlow Lite, PyTorch Mobile...

Position Title: TinyML / Embedded AI Principal Engineer Location: Bangalore Experience Required: 15+ Years Employment Type: Full-Time Role Purpose: The TinyML / Embedded AI Principal Engineer will lead the design, development, optimization, and deployment of AI solutions on edge and resource-constrained embedded devices. This role is critical to enabling real-time, mission-critical AI inference across advanced programs, with a focus on sensor fusion, hardware-software co-design, and embedded intelligence under strict latency, power, and memory constraints. Key Responsibilities: Architect and deploy TinyML / Embedded AI models for real-time inference on microcontrollers, SoCs, FPGAs, and cust...

As an Embedded Systems Trainee, you will be responsible for the following: - Assist in the design, development, and testing of embedded systems. - Support implementation of AI/ML models on microcontrollers and edge devices. - Collaborate with hardware and software teams for prototype development. - Perform debugging, optimization, and performance testing. - Document design processes and technical findings. To qualify for this role, you should have the following skills: - Basic understanding of Embedded C/C++, Microcontrollers (ARM, Arduino, Raspberry Pi, etc.). - Familiarity with AI/ML concepts and libraries such as TensorFlow Lite or PyTorch Mobile. - Knowledge of electronics fundamentals (...

Job Description Roles & Responsibilities : About the Role We are seeking an experienced Machine Learning Computer Vision Engineer to design and develop advanced computer vision algorithms for the Robocam V1.0 system . This role requires hands-on expertise in edge-based AI model deployment, embedded ML frameworks, and optimizing computer vision solutions for real-time and low-power environments. Key Responsibilities Design and develop computer vision algorithms for the Robocam V1.0 system. Implement edge-based object and person detection solutions using onboard processing (with no cloud dependency). Work with machine learning frameworks for embedded systems such as TensorFlow Lite or PyTorch ...

Role Overview: You will be part of the System Performance team at Qualcomm India Private Limited, responsible for profiling and optimizing System Performance on Snapdragon Data center chipsets. Your role will require a strong knowledge of AI/ML performance using NPU cores, with additional advantage if you have knowledge of CPU, DDR, and NoCs. Key Responsibilities: - Drive performance analysis on silicon using various System and Cores benchmarks like Dhrystone, GeekBench, SPECInt, CNN/GenAI ML networks. - Utilize performance tools to analyze load patterns across IPs and identify performance bottlenecks in the system. - Analyze Perf KPIs of SoC subsystems like NPU, CPU, Memory, and correlate p...

Role & responsibilities Lead end-to-end development of Edge AI models: (Human activity recognition, fall detection, predictive maintenance, anomaly detection, etc.) Architect lightweight models (e.g., TinyML, TFLite Micro) for microcontrollers and IoT devices. Collaborate with hardware, embedded, and firmware teams for edge deployment. Use techniques like: (Model quantization, pruning, knowledge distillation, ONNX conversion) Signal preprocessing (FFT, time-domain, sensor fusion) Drive data collection strategies for real-world edge use cases. Own model performance metrics: (Accuracy, latency, power consumption, memory footprint) Mentor a team of ML engineers and scientists; review code and m...

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, youre not just taking on one roleyoure signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunit yJoin our network as an Edge AI Develope r and bring AI capabilities directly to edge deviceswhere speed, privacy, and offline access matter most. Youll develop, deploy, and optimize machine learning models to run on low-power, low-latency hardware in real-world environments like IoT, robotics, automotive, an...

You will be responsible for designing and developing cross-platform mobile applications using Flutter. Your role will involve developing native Android applications using Kotlin and ensuring smooth integration with Flutter. Additionally, you will work on iOS app development, focusing on compatibility and performance optimization. Implementing and integrating machine learning models into mobile applications will be a key aspect of your responsibilities, utilizing frameworks such as TensorFlow Lite, Core ML, or other ML frameworks for on-device AI processing. Your tasks will also include optimizing app performance to ensure a seamless user experience. Collaboration will be a significant part o...