Samsung R&D Institute Bangladesh Ltd.

Requirements

Education

Experience

The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, Research Organization

Additional Requirements

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.

Responsibilities & Context

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 and NPU (e.g. 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.

To apply for this job email your details to imranaesthetic68@gmail.com