Senior AI Engineer

Job Description

Title: Senior AI Engineer

Company Name: Samsung R&D Institute Bangladesh Ltd.

Vacancy: --

Location: Dhaka

Experience:
∎ At least 2 years
∎ The applicants should have experience in the following business area(s):Software Company

Published: 11 Feb 2025

Education:
∎ Bachelor of Science (BSc) in Computer Science & Engineering, Bachelor of Science (BSc) in Electrical & Electronic Engineering, Bachelor of Science (BSc) in Information Technology

Requirements:

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.
∎ Experience with MLOps, CI/CD pipelines, and model monitoring for edge AI applications.
∎ 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.

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, 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.
∎ 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.

Skills & Expertise:

Workplace:
∎ Work at office

Employment Status: Full Time

Job Location: Dhaka

Job Highlights:
∎ 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

Company Information:
∎ Samsung R&D Institute Bangladesh Ltd.
∎ Monem Business District (3rd Floor), 111, Bir Uttam C. R. Dutta Road (Sonargaon Road), Dhaka- 1205, Bangladesh.
https://research.samsung.com/srbd
∎ We are an equal employment oppurtunity provider and we highly discourage any kind of discrimination. Besides, we requests you to maintain confidentiality of the Trade Secrets of your current and previous organizations and not disclose to us (or any of its employees) under any situation. Please let our HR know if anyone from our organization requires / requests for disclosure of such Trade Secret of your current / previous / any other organization at any point of time.

Address::
∎ Monem Business District (3rd Floor), 111, Bir Uttam C. R. Dutta Road (Sonargaon Road), Dhaka- 1205, Bangladesh.
∎ https://research.samsung.com/srbd
∎ We are an equal employment oppurtunity provider and we highly discourage any kind of discrimination. Besides, we requests you to maintain confidentiality of the Trade Secrets of your current and previous organizations and not disclose to us (or any of its employees) under any situation. Please let our HR know if anyone from our organization requires / requests for disclosure of such Trade Secret of your current / previous / any other organization at any point of time.

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Application Deadline: 28 Feb 2025

Category: IT/Telecommunication

Interested By University

University Percentage (%)
Daffodil International University (DIU) 5.48%
North South University 5.14%
American International University Bangladesh (AIUB) 4.11%
4.11%
BRAC University 3.42%
Bangladesh University of Engineering and Technology 2.74%
United International University 2.74%
University of Dhaka 2.74%
Ahsanullah University of Science and Technology (AUST) 2.40%
Green University of Bangladesh 2.40%

Interested By Age Range

Age Range Percentage (%)
20-30 72.95%
31-35 13.01%
36-40 4.45%
40+ 4.11%

Interested By Salary Range

Salary Range Percentage (%)
0-20K 8.90%
20K-30K 27.05%
30K-40K 13.01%
40K-50K 9.59%
50K+ 41.44%

Interested By Experience Range

Experience Range Percentage (%)
0 years (Freshers) 29.11%
0.1 - 1 years 6.85%
1.1 - 3 years 28.08%
3.1 - 5 years 17.81%
5+ years 18.15%

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