Total 3 job vacancies by Porolis Technologies Pte. Ltd.

Job responsibilities :

Functional Requirement Specifications, Testing and Documentation:

• Draft functional specifications, and system performance requirements and interface definitions across software and embedded systems

• Define unit tests and detailed system integration documents, additionally to any other documents required during the project lifecycle

• Enable and support functional and user acceptance testing

• Develop final documentation and train Users

Architect and Design :

• Lead the architectural design of cloud-based SaaS application on AWS, utilizing relevant services to ensure scalability, security, and performance, with CI/CD integration

• Implement strategies to optimize application performance, addressing latency, and ensuring responsiveness across diverse devices and platforms

Machine Learning :

• Support the integration of machine learning models into production systems.

• Ensure efficient deployment for real-time or near–real-time inference, with attention to system performance and user experience.

• Embedded Systems & Firmware Development

• Develop and maintain firmware for STM32F4 series microcontrollers, including peripheral configuration, drivers, and low-level hardware interaction.

• Support communication between firmware and higher-level applications running on Windows.

• Debug and optimize firmware–software interactions for reliability and performance.

• Edge Computing & Raspberry Pi Development

• Develop applications on Raspberry Pi 5, running Linux-based systems.

• Interface Raspberry Pi with external peripherals, including but not limited to:

• Motor drivers and motion control systems

• Camera modules and camera control pipelines

• Support edge-to-cloud commuSensors and other I/O devices (GPIO, I2C, SPI, UART, etc.)nication.

Applications Development :

• Full-stack software development on backend and frontend (eg Python, SQL, REST, JavaScript, TypeScript / node.js + React framework) for the SaaS

• Applications development on Windows environment to communicate with the firmware of the IOT optical device

• Oversee the applications development on iOS and Android

Data Management :

• Design the architecture and system for effective data storage, retrieval, and management in a cloud environment, ensuring compliance with data privacy and security standards.

Team Collaboration across Disciplines :

• Work closely with cross-discipline teams, including AIML engineers, UI/UX designers, firmware engineer and IOT-hardware engineers, to ensure a cohesive development process to integrate hardware and/or software systems

Qualifications and skills :

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field

• Minimum 3 years of hands-on experience in system architecture and system development, with a solid understanding of AI, machine learning, and deep learning principles

• Hands-on coding and software design experience building robust and scalable software using Python, C+, SQL, REST, JavaScript, TypeScript / node.js + React/Angular framework

• Hands-on experience / familiar with STM32F4 microcontrollers and embedded firmware development.

• Experience developing applications on Raspberry Pi 5.

• Experience interfacing with hardware peripherals (motors, cameras, sensors, serial protocols).

• Experience in building data intensive applications in a modern technology stack Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases

• Experience building and consuming web-based APIs

• Familiar with continuous deployment environments (eg Jenkins) and test-driven development

• Good understanding and practical experience on Docker, CI/CD and Kubernetes

• Strong knowledge and practical experience of Micro services architecture.

• Strong knowledge of source code management tools such as Git

If you have aspirations to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Job responsibilities :

Functional Requirement Specifications, Testing and Documentation:

• Draft functional specifications, and system performance requirements and interface definitions across software and embedded systems

• Define unit tests and detailed system integration documents, additionally to any other documents required during the project lifecycle

• Enable and support functional and user acceptance testing

• Develop final documentation and train Users

Architect and Design :

• Lead the architectural design of cloud-based SaaS application on AWS, utilizing relevant services to ensure scalability, security, and performance, with CI/CD integration

• Implement strategies to optimize application performance, addressing latency, and ensuring responsiveness across diverse devices and platforms

Machine Learning :

• Support the integration of machine learning models into production systems.

• Ensure efficient deployment for real-time or near–real-time inference, with attention to system performance and user experience.

• Embedded Systems & Firmware Development

• Develop and maintain firmware for STM32F4 series microcontrollers, including peripheral configuration, drivers, and low-level hardware interaction.

• Support communication between firmware and higher-level applications running on Windows.

• Debug and optimize firmware–software interactions for reliability and performance.

• Edge Computing & Raspberry Pi Development

• Develop applications on Raspberry Pi 5, running Linux-based systems.

• Interface Raspberry Pi with external peripherals, including but not limited to:

• Motor drivers and motion control systems

• Camera modules and camera control pipelines

• Support edge-to-cloud commuSensors and other I/O devices (GPIO, I2C, SPI, UART, etc.)nication.

Applications Development :

• Full-stack software development on backend and frontend (eg Python, SQL, REST, JavaScript, TypeScript / node.js + React framework) for the SaaS

• Applications development on Windows environment to communicate with the firmware of the IOT optical device

• Oversee the applications development on iOS and Android

Data Management :

• Design the architecture and system for effective data storage, retrieval, and management in a cloud environment, ensuring compliance with data privacy and security standards.

Team Collaboration across Disciplines :

• Work closely with cross-discipline teams, including AIML engineers, UI/UX designers, firmware engineer and IOT-hardware engineers, to ensure a cohesive development process to integrate hardware and/or software systems

Qualifications and skills :

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field

• Minimum 3 years of hands-on experience in system architecture and system development, with a solid understanding of AI, machine learning, and deep learning principles

• Hands-on coding and software design experience building robust and scalable software using Python, C+, SQL, REST, JavaScript, TypeScript / node.js + React/Angular framework

• Hands-on experience / familiar with STM32F4 microcontrollers and embedded firmware development.

• Experience developing applications on Raspberry Pi 5.

• Experience interfacing with hardware peripherals (motors, cameras, sensors, serial protocols).

• Experience in building data intensive applications in a modern technology stack Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases

• Experience building and consuming web-based APIs

• Familiar with continuous deployment environments (eg Jenkins) and test-driven development

• Good understanding and practical experience on Docker, CI/CD and Kubernetes

• Strong knowledge and practical experience of Micro services architecture.

• Strong knowledge of source code management tools such as Git

If you have aspirations to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.