PhD Holder | AI Algorithms Engineer / Specialist

Reolink Technology Pte. Ltd.; Singapore; On-site; SGD 180,000 - 230,000; Full time

Benefits offered by this job

Medical benefits provided

Yearly bonus

Performance bonus

Job summary

Reolink Technology Pte. Ltd. in Singapore is seeking an AI Algorithms Engineer (PhD Holder Only) to develop and optimize machine learning models for surveillance applications.

You will lead the end-to-end process from data preparation to deployment, focusing on CNN/RNN/LSTM/Transformer based approaches. The role requires a PhD in a relevant field, strong Python and C/C++ skills, and hands-on experience with ML frameworks like PyTorch, TensorFlow, Caffe or MXNet.

Qualifications

• PhD in CS, Applied Math, EE, AI, or related field.
• Familiar with ML/DL algorithms and latest SOTA.
• Strong Python and C/C++ programming, solid math skills.

Responsibilities

• Develop and optimize ML/DL algorithms for surveillance and related tasks.
• Train and evaluate AI models, iterate for performance gains.
• Data collection, cleaning, preprocessing, feature engineering.
• Collaborate to integrate models into production systems.
• Stay updated on AI/ML advances and deploy new tech.
• Work on audio/video algorithms for detection, tracking, recognition.

Skills

Python

C/C++

ML frameworks

Deep learning

Model optimization

Education

PhD required

Tools

Caffe

PyTorch

TensorFlow

MxNet

Job description

• AI Algorithms Engineer (PHD Holder Only)
• 5 Work Days Per Week
• Office Near Tai Seng MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Job Requirements:

1. PHD Holderin Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.

Job Responsibilities:

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.