Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Edge AI Developer | Freelance | WFH BeGig

2.0 - 4.0 years

0 Lacs

india

Remote

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, and smart devices . This fully remote role is available on an hourly or project-based basi s.Role Overvi ewAs an Edge AI Developer, you wil l:Build AI for the Ed ge: Develop and deploy optimized AI models that run directly on embedded or edge device s.Model Optimizati on: Use techniques like quantization, pruning, and compression to reduce model size and inference latenc y.Hardware Integrati on: Work with edge hardware platforms such as NVIDIA Jetson, Raspberry Pi, Coral TPU, and ARM-based board s.Deploy Offline Mode ls: Package and deploy models for inference without requiring constant cloud connectivit y.Performance Tuni ng: Ensure models are fast, accurate, and resource-efficient under real-time constraint s.Toolchain Usa ge: Use platforms like TensorFlow Lite, ONNX, OpenVINO, or PyTorch Mobile for deployment and optimizatio n. Technical Requirements & Ski llsExperie nce: Minimum 2+ years in machine learning, embedded systems, or AI application developme nt.Model Optimizat ion: Experience with tools like TensorRT, TFLite, or ONNX Runtime for edge model optimizati on.Programm ing: Proficiency in Python and C/C++ for model integration, device communication, and real-time processi ng.Hardware Platfo rms: Familiarity with deploying AI models on Jetson Nano, Raspberry Pi, Intel Neural Compute Stick, e tc.Deployment & Test ing: Ability to build testing frameworks to simulate edge scenarios and monitor performan ce.Real-Time Considerati ons: Understanding of latency, thermal constraints, power management, and memory limitatio ns. What Were Looking ForA developer passionate about running AI outside the cloudon devices where speed, efficiency, and privacy are criti cal.A freelancer who can navigate hardware constraints and deliver smart, optimized ML models in product ion.A systems thinker who bridges the gap between machine learning research and embedded engineer ing. Why Joi n UsImmediate I mpact: Help startups deploy AI models into real-world environmentsfrom warehouses to smart h omes.Remote & Fle xible: Work from anywhere and structure your engagement on your own termshourly or project-b ased.Future Opportun ities: Be continuously matched with projects in IoT, robotics, and real-time edg e AI.Growth & Recogn ition: Be part of a trusted network that values cutting-edge technical expertise and applied AI deli very. Show more Show less

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AI & ML App Developer Ameyaa NXT

3.0 - 7.0 years

0 Lacs

maharashtra

On-site

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 of your role as you work closely with UI/UX designers, backend developers, and data scientists. You will be expected to maintain and enhance existing applications by addressing bugs and implementing new features. Keeping up-to-date with the latest AI/ML trends and emerging mobile technologies is essential. Your qualifications should include proven experience in Flutter and Dart for mobile application development. Strong knowledge of Kotlin for Android app development is necessary, and experience in iOS development using Swift/Objective-C is preferred. Hands-on experience with AI/ML models and frameworks such as TensorFlow Lite, Core ML, PyTorch Mobile, or ONNX is required. Understanding of computer vision, NLP, and predictive modeling will be beneficial. Proficiency in RESTful APIs, Firebase, and cloud services is expected, along with familiarity with state management (Provider, Riverpod, Bloc, etc.) in Flutter. Strong debugging and performance optimization skills are essential, coupled with excellent problem-solving and analytical abilities. You should be capable of working both independently and collaboratively within a team environment. Preferred qualifications for this role include experience with DevOps, CI/CD pipelines for mobile apps, knowledge of edge AI, and on-device ML optimizations. Previous experience in publishing apps to Google Play Store and Apple App Store is a plus, along with familiarity with GraphQL, WebRTC, or AR/VR technologies.,

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