- Singapore Singapore
Working Location
Job Description
Responsibilities
Porolis Technologies Pte Ltd
Background
Headquartered in Singapore, Porolis is a tech-start-up and we aim to leverage AI machine-learning technologies to digitally disrupt the Gemstone sector. We provide solutions delivered as a Software as a Service (SaaS) coupled with an advanced optical imaging device to bring impactful change to the industry.
We seek talented and highly motivated individuals who are keen to pursue an exciting career in an ultra-high growth industry to digitise the Gemstone trade. You will be immersed in a stimulating environment of design thinking and experimentation to market a novel optical imaging Device coupled to an AI-powered application leveraging state of art computer vision algorithms.
Porolis is part of the 150 years old BP De Silva Group with global operations in Asia, Middle East, Europe and Australia. Anchored in our values of Passion for Excellence, Strength through Teamwork, Care for People and Innovation through Technology, we believe in working and playing, not just as a team, but as a family.
Artificial Intelligence / Computer Vision Engineer
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
Required qualifications and profile:
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
If you aspire to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.
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