Data Scientist / Big Data Analyst | Algorithm Models

Artificial Intelligence Engineer | AI Agent | Computer Vision | Vision Language Models

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

5 Work Days Per Week

Current Office Near to Kaki Bukit MRT

• Will Relocate To Tai Seng MRT in August 2026

Medical & Dental Benefits Provided

Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Requirements:

• Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• Minimum 2 Years of working experience as AI Specialist, AI Algorithm Engineer or AI Research Engineer is required for this post.
• 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.

Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.

Strong programming skill in Python, C/C++, proficient in mathematical / statistical concepts and exceptional coding skills.

Hands‑on experience with AI / ML frameworks such as Caffe, PyTorch, TensorFlow, MxNet etc.

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.

Job Responsibilities:

Algorithm Development: Development and optimisation 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.

During the recruitment process we collect and process personal data to assess your suitability for employment. This may include your name, phone number, email address, CV/resume, educational background, work experience, interview records, assessment results, references, and, where permitted by law, information obtained through background checks. We collect most of this information directly from you through your application, interviews, assessments, correspondence, and recruitment platforms. We may also obtain relevant information from referees, recruitment agencies, background screening providers, or other lawful sources. We implement appropriate technical and organisational security measures to protect your personal data. We retain candidate personal data only for as long as necessary for the recruitment process, applicable legal requirements, dispute resolution, and recordkeeping obligations. Thereafter, your data will be securely deleted or anonymized.