Job Overview

Semiconductor devices are the necessity in our modern life. In Aurigin, we are a team of brilliant people designing and manufacturing automated systems in the Semiconductor industry. We are continuing to grow big and fast. We are inviting passionate Software Engineers to join in this journey with us.

Responsibility and Duties

• Designing & develop software application that meet automated machine specifications.

• Collaborate with Mechanical & Electrical team members to integrate software components.

• Applying mathematics, statistics and Machine Learning to problem-solving initiatives.

• Creating innovative solutions to meet our company’s technical needs.

• Applying best practices and standard operating procedures.

• Maintaining comprehensive records of software design and development.

• Support oversea technical agents and end users in troubleshooting on site systems.

• Continuously updating skills and knowledge to adapt to evolving technologies.

Requirements

• Degree, Masters or PhD in Computer Engineering/Electrical/Electronics/Mechatronics or its equivalent.

• Proficiency in C++ or C# programming on Windows environment.

• Knowledge in OOP design pattern, developing multi-threaded software.

• Programming experience in SECS/GEM communications or machine vision applications.

• Good understanding of Robotics modelling / Machine Vision / Machine Learning / Deep learning concepts is an advantage.

There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Site Reliability Engineer III at JPMorgan Chase within the Payments Technology team, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate

• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines

• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications

• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit

• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems

• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers

• Supports the adoption of site reliability engineering best practices within your team

Required qualifications, capabilities, and skills

• Bachelor's Degree in Computer Science or equivalent

• Formal training and/or certification in software engineering and at least 3+ years of experience

• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform

• Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net

• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)

• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others

• Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform

• Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker

• Familiarity with troubleshooting common networking technologies and issues

• Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=d594a0b009fd729104ff3adbeb52ae8e

Job Responsibilities

• Assist in developing and optimizing AI / machine learning models for real-world applications
• Train, evaluate, and improve model performance using structured datasets
• Support experimentation and implementation of deep learning techniques (e.g. CV, NLP)
• Collaborate with engineering teams to integrate AI models into products
• Stay updated with latest AI/ML developments and contribute ideas to projects

Job Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus)
• Strong foundation in machine learning, data structures, and algorithms
• Familiarity with deep learning frameworks (e.g. TensorFlow or PyTorch)
• Basic understanding of computer vision or NLP concepts
• Strong problem-solving skills and ability to learn independently
• Good teamwork and communication skills

Nice to Have

• Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs)
• Experience with AI/ML projects, internships, or competitions
• Familiarity with model training, tuning, and evaluation techniques
• Knowledge of deploying ML models (APIs, cloud, etc.)

Why Join Us

• Kickstart Your Engineering Career
  Gain hands-on experience, with guidance from experienced engineers.
• Structured Learning & Mentorship
  Learn best practices
• Regional Exposure.
  Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment.
• Growth & Career Development
  Clear progression path with opportunities to grow.
• Supportive Team Culture
  Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.

Weeseng HVAC Technology Pte Ltd is seeking a Junior Mechanical Technician to join our growing team. The Junior Technician will be responsible for diagnosing, testing, repairing, producing, and overhauling mechanical, electrical, and electronic components of chillers and related systems. You will collaborate with fellow technicians to support our overall chiller manufacturing process.

Requirements:

• ITE/ Poly Diploma in Engineering(Electrical/Mechanical) or equivalent.

• 1 -2 years of working experience in HVAC or Industrial Chiller fields.

• Proficient in Solidworks.

• Class 3 driving license preferred.

• Salary commensurate with qualifications and experience.

• Working Hours: Monday to Friday (8.00am –5.00pm) & Saturday (8.00am -3.00pm).

Key Responsibilities:

• Manufacture industrial chillers in collaboration with other technicians, including sheet metal work, welding, assembly of refrigeration systems, electrical wiring, and temperature controller setup.

• Evaluate final products for overall performance, reliability, and safety.

• Diagnose, test, manufacture, repair, and overhaul mechanical, electrical, and electronic components of chillers and related systems according to production BOM/WO.

• Deliver chillers and components to end customers and perform on-site setup.

• Generate 2D engineering and electrical drawings using Solidworks software.

• Perform other duties as assigned.

Salary & Benefits:

Salary Range : S$ 2,800 – S$4,000

• Annual Variable bonus(performance-based).

• Medical Benefits.

• Career development opportunities.

Interested candidates are invited to submit their detailed resume to finance@weeseng.comor contact Tel : 6245 2712

Responsibilities:
• Research, design, and develop computer software or specialised utility programs.
• Develop and maintain automation tools for infrastructure provisioning, configuration management, and deployment.
• Collaborate with development teams to implement CI/CD pipelines and automate deployment processes.
• Monitor and troubleshoot infrastructure and application performance issues.
• Implement security best practices and ensure compliance with industry standards.
• Stay up-to-date with the latest DevOps technologies and trends.
• Contribute to the development and improvement of our DevOps culture and processes.

Mandatory Skills Description:

• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.
• 1+ years experience in relevant activities
• Good knowledge in UNIX platform and database management systems such as SQL, Oracle, Sybase and Big Data.
• Experience with automation frameworks and libraries.
• Proficiency in scripting languages such as Python, Shell script and PowerShell.
• Good exposure to DevOps tools & technologies like Gitlab, Ansible, Jenkins, Maven, Elastic Search, Grafana,
• Prometheus, Kibana, Control-M, KAFKA, Confluence, Jira, and MQ Series.
• Experience with Docker / Kubernetes
• Experience with AWS Cloud platforms and services
• Experience in supporting capital market applications and trading systems, ideally within the dynamic landscape of Market Risk/Front Office operations with a commendable grasp of financial products (Treasury, FX, Credit, IRD, Bonds, RSF, etc.)
• Excellent communication and interpersonal skills to effectively collaborate with diverse teams.
• Excellent problem-solving and analytical skills.
• Ability to work under pressure.
• Appetite to follow technology trend and participate to communities.
• Eagerness to learn and adapt to new technologies.
• Strong perseverance and diligence towards attaining goals and effective time management
• Passion for sharing expertise and grow team members’ skills.
• Autonomous, self-motivated and excellent team player

Nice-to-Have Skills Description:

• Experience in supporting banking applications and trading systems
• Any Object-oriented language: Java, .Net
• Domain-Driven design and Microservices: Spring Boot

Weeseng HVAC Technology Pte Ltd is seeking a highly motivated and experienced ACMV Engineer cum Project Manager to join our growing team. The successful candidate will be responsible for leading project teams and managing ACMV projects from planning through to successful completion.

Requirements:

• Degree in Mechanical Engineering or equivalent qualification.

• Minimum 4 -5 years of relevant hands-on experience in ACMV (Air-Conditioning & Mechanical Ventilation) systems.

• Strong technical knowledge of chiller and AHU design.

• Proven leadership capabilities with good communication and interpersonal skills.

• Ability to manage multiple projects concurrently.

• Strong analytical and problem-solving skills.

• Self-driven, responsible, and able to work independently.

• Familiarity with ACMV systems, BCA Green Mark certification processes, and relevant regulations.

• Proficient in 3D &Electrical/Solidworks.

Key Responsibilities:

• Provide engineering support, including drawings, calculations, and system design/customization for ACMV works.

• Manage the full project lifecycle, including planning, coordination, execution, control, and project completion.

• Lead and supervise cross functional project teams and contractors to ensure timely progress according to project schedules.

• Oversee site activities, installation works, and ensure compliance with specifications, quality standards, and safety requirements.

• Monitor project costs, budgets, timelines, and resource allocation.

• Coordinate manpower planning to meet project demands.

• Liaise with clients, consultants, subcontractors, and internal stakeholders for smooth project execution.

• Identify, troubleshoot, and resolve technical issues throughout project stages.

• Ensure all regulatory, safety, and quality requirements are strictly adhered to

Benefits :

• Annual Variable bonus (performance-based)

• Medical Benefits

• Career development opportunities

Interested candidates are invited to submit their detailed resume to finance@weeseng.com or contact Tel: 6245 2712

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a VDI Automation Engineer to support our client in Singapore which is a top global investment bank.

Responsibilities:

Automation, Scripting & Operational Efficiency:

• Develop and maintain automation scripts (Python, PowerShell, Ansible) for App Volumes management (assignments, mounts, health checks), VDI operational tasks, user session telemetry extraction, and bulk administration tasks
• Build repeatable automation to reduce manual work and improve operational consistency
• Identify processes suitable for automation and propose innovative solutions

Reporting, Audit & Compliance:

• Create and maintain automated reporting pipelines for capacity monitoring, performance metrics, App Volumes utilization, deployment and assignment tracking, and vulnerability/compliance status
• Produce audit-ready reports for internal and external compliance reviews
• Automate log collection and data extraction to support investigations, incident analysis, and operational oversight
• Collaborate with cybersecurity, risk, and governance teams to ensure VDI/App Volumes compliance with enterprise standards

Virtual Desktop & Application Delivery:

• Manage, maintain, and optimize VMware Horizon VDI infrastructure at enterprise scale
• Support, administer, and troubleshoot VMware App Volumes, including AppStacks lifecycle management, Writable Volumes maintenance, application packaging/provisioning, and assignment/entitlement troubleshooting
• Collaborate with engineering teams to ensure reliability, scalability, and security of VDI platforms
• Participate in golden image maintenance, OS optimization, and environment upgrades

Operational Support & ITIL Processes:

• Support Incident, Problem, and Change Management aligned with ITIL best practices
• Coordinate with cross-regional teams to drive issue resolution, root cause analysis, and preventive improvements
• Participate in endpoint security initiatives related to VDI and App Volumes environments
  

Required Qualifications:

• 5+ years of experience in Endpoint Engineering, VDI Operations, or Virtual Desktop platforms
• Strong practical experience with VMware Horizon VDI and VMware App Volumes (AppStacks, Writable Volumes, packaging)
• Proficiency in PowerShell, Python, or Ansible scripting, with the ability to automate complex workflows and generate advanced reports
• Solid knowledge of Windows 11, Active Directory, Windows Server, and enterprise virtualization concepts
• Experience handling audit requirements, compliance reporting, or documentation in regulated environments
• Familiarity with cybersecurity principles and vulnerability remediation workflows

Preferred Qualifications

• Experience with MECM, Tanium, or similar endpoint management platforms
• Working knowledge of Splunk or similar log analytics tools for data extraction and dashboarding
• Experience with golden image engineering, profile optimization, and GPO tuning for VDI environments
• Exposure to CI/CD automation or infrastructure-as-code practices

Soft Skills

• Strong analytical, troubleshooting, and root cause analysis skills
• Excellent communication skills with the ability to explain technical concepts clearly
• Ability to collaborate effectively across global teams
• Highly organized with strong documentation and structured thinking
• Proactive, adaptable, and driven to improve and automate workflows

Job Description & Requirements

* Overseeing the construction activities and progress, planning, implementation and monitoring work schedules in accordance to the master and detailed work programme

* Liaise with Professional Engineer on the Temporary works

* Liaise with consultants (QPS) for technical issues and coordinate the site activities with subcontractors

* Handing of technical and engineering problems

* Provide guidance to supervisors in relation to construction works, ensure progress according to schedule, quality standards are maintained site inspections are carried out and technical issues are resolved on time

* Prepare report and method statement for site activity

* Manage and control workers and monitor their work closely to keep the site safer and neat

* Supervise ongoing site activities closely

Requirements

* At least 1 year relevant experience in construction projects

* BCSS certificate

* Bachelor Degree in civil engineering or relevant major is preferred.

* May be required to work overtime when necessary.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are seeking a Senior Java Engineer / VP-level technologist to support our client, a top global investment bank. He/she will join the Electronic Trading Technology team, supporting front-office trading platforms across asset classes.

This role is highly stakeholder-facing, requiring close collaboration with traders, quants, product managers, and global technology teams to deliver scalable, low-latency trading solutions.The ideal candidate combines deep technical expertise in Java and distributed systems with strong ownership, communication, and leadership capabilities to drive platform evolution and business outcomes.

Key Responsibilities

• Act as a primary interface between business stakeholders (traders, quants, product owners) and engineering teams to translate trading requirements into scalable technical solutions.
• Lead the design and delivery of electronic trading platforms, focusing on performance, scalability, and reliability.
• Collaborate with global teams across regions (APAC, EMEA, US) to ensure aligned delivery and platform consistency.
• Drive end-to-end ownership across the software development lifecycle (SDLC), from requirements to production support.
• Partner with business stakeholders to implement and enhance trading strategies (e.g., VWAP, TWAP, POV) and execution workflows.
• Provide production support and incident management for critical front-office trading systems.
• Lead and mentor senior engineers, fostering engineering excellence and best practices.
• Drive platform modernization initiatives, including cloud adoption, microservices architecture, and DevOps practices.
• Influence architectural decisions and contribute to long-term technology strategy and roadmap.  

Required Skills & Qualifications

• Strong Java expertise (Java 8–21) with experience building high-performance, low-latency systems.
• Proven experience in electronic trading systems, preferably in Equities or FX.
• Strong understanding of:  Order lifecycle & execution workflowsMarket data processingFIX Protocol and event-driven architectures
• Experience designing distributed, scalable systems using microservices and Kafka-based architectures.
• Solid knowledge of multithreading, concurrency, and performance tuning (e.g., latency optimization, bottleneck reduction).
• Hands-on experience with Spring Boot, REST APIs, and event-driven systems.
• Strong experience with cloud platforms (AWS/OCI) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD pipelines, observability tools (Grafana, Prometheus), and Infrastructure as Code (Terraform).
• Strong understanding of data structures, algorithms, and system design principles.

Stakeholder & Leadership Expectations

• Demonstrated ability to engage with front-office stakeholders and translate business needs into technical deliverables.
• Experience acting as a product or platform champion, driving adoption across teams.
• Strong communication skills with the ability to influence senior stakeholders and decision-making.
• Proven track record of mentoring engineers and leading distributed teams.
• Ability to balance hands-on development with strategic oversight.

Preferred Qualifications

• Experience working in Tier-1 investment banks or large financial institutions.
• Exposure to low-latency frameworks (e.g., LMAX Disruptor).
• Experience with algorithmic trading systems and execution engines.
• Familiarity with Python for analytics, automation, or tooling.
• Exposure to AI-assisted development tools (e.g., GitHub Copilot).

Key Competencies

• Strong analytical and problem-solving skills
• High ownership and accountability
• Ability to operate in a fast-paced, front-office environment
• Excellent stakeholder management and communication
• Focus on quality, performance, and continuous improvement

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

  Entitled to Yearly Bonus & Performance Bonus 
  

Job Requirements: 

1. Preferable 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. 

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. 

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. 

Job Overview

We are a Semiconductor Equipment company.

These high precision machines are built, tuned and tested in house before shipping out.

You are responsible for the beginning (Preparation) & ending (Pre-Shipment) stages.

You will get to learn more on Windows OS, IPC, motor controllers, drivers, barcode scanners, vision camera and more.

Responsibility and Duties

Preparation:

• Prepare the software driver & application versions required in a PC; which is the heart of the machine.

• Once a system is firstly power up, configure its controllers & Drivers.

• Check through all the Inputs/Outputs, correspond to sensors & actuators.

• Check through all the motor axes, perform necessary tunning.

• Able to troubleshoot on the component level.

Pre-Shipment:

• Backup machine data.

• Perform antivirus scanning.

• Update setup procedures & user manual, if changes were made.

Skill Requirement

• Diploma or Degree in Electrical / Electronics / Computer Engineering or its equivalent ( students on vacation or students looking for a creditable internship to apply)

• Programming experience in dotnet C# is a plus.

• Good hands-on knowledge and interest in self improving job knowledge.

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

  Entitled to Yearly Bonus & Performance Bonus 
  

Job Requirements: 

1. Preferable 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. 

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. 

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.