Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with mobile AI deployment using TensorFlow Lite, Core ML, or ONNX Runtime.
Knowledge of optimizing deep learning models using quantization, pruning, and model compression techniques.
Hands-on experience deploying AI models on Android (via ML Kit, NNAPI) or iOS (via Core ML, Metal).
Strong understanding of edge computing, power-efficient AI, and real-time inference.
Familiarity with cloud-edge integration for AI workloads (e.g., cloud-assisted AI inference).
Knowledge of embedded AI development with tools like Edge TPU, OpenVINO, or TinyML is a plus.
Experience with MLOps, CI/CD pipelines, and model monitoring for edge AI applications.
Design, develop, and optimize AI/ML models for mobile and wearable devices.
Deploy AI models on smart devices using frameworks such as TensorFlow Lite, Core ML, ONNX Runtime, or Qualcomm SNPE.
Optimize AI models for performance and power efficiency on resource-constrained devices.
Implement real-time inference on embedded platforms while considering latency, battery consumption, and hardware constraints.
Work with hardware accelerators like GPU, DSP, and NPU (e.g., Apple Neural Engine, Tensor Processing Unit, Qualcomm AI Engine).
Preprocess and analyze data for AI applications in mobile and wearable environments.
Collaborate with cross-functional teams including firmware engineers, mobile developers, and product managers.
Stay updated with the latest advancements in edge AI, federated learning, and efficient deep learning architectures.
Work at office
Full Time
Dhaka
We are looking for an AI Engineer with 2 to 4 years of experience to develop and deploy AI/ML models, specifically optimized for smart devices such as smartphones, smartwatches, and other edge devices
Euro Staffs, founded in 2019, is a non-profit organization based in New York that specializes in academic and professional career development. Operating in over 60 countries, it functions as a vertical search engine, aggregating job and institutional admission listings from various sources. The platform generates revenue through premium services for employers, while job seekers can apply for jobs and use resume-related features.