Senior Computer Vision/ML Manager

Jobline Resources Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Jobline Resources Pte Ltd in Singapore seeks an experienced AI Platform Engineer to design, develop, train, and deploy AI/ML models for video analytics, object detection, facial recognition, LPR, and related CV tasks. You will own backend services (Python, FastAPI, gRPC), build scalable APIs, and orchestrate multi-step pipelines with retry and SLA guarantees.

The role includes creating data curation tools, training dashboards, evaluation workflows, and monitoring, with a focus on production

Qualifications

• Degree in Computer Science, Engineering, Information Technology, Data Analytics, Data Science, Image Processing or equivalent competencies
• At least 3 years of experience in production deployment of AI solutions
• Competent in at least one programming language (e.g. Python, JavaScript, Java). Interest and ability to gain expertise in other programming languages, frameworks, and technologies
• Able to contribute to architecting and engineering for AI would be a strong plus
• Proven track record delivering AI projects from concept to deployment

Responsibilities

• Develop and deploy AI/ML models for video analytics, object detection/tracking, facial recognition, LPR/ANPR, and related CV tasks
• Build end-to-end CV pipelines from data ingestion through model deployment and monitoring
• Design and build user-facing application layers across the full CV lifecycle: data curation tools, training dashboards, evaluation, deployment workflows, and monitoring
• Own backend services (Python, FastAPI, gRPC) powering automated CV pipelines and integrate data prep, augmentation, model training, and evaluation
• Build scalable APIs with clean contracts, versioning, and documentation for internal teams and platform agents
• Integrate and wrap CV toolkits (PyTorch, OpenCV, Ultralytics YOLO) to orchestrate them programmatically
• Implement orchestration layers for multi-step pipelines with retry, rollback, and SLA guarantees

Skills

Python

JavaScript

Java

AI/ML

Computer Vision

Data Analytics

Education

Bachelor's degree in Computer Science/Engineering/IT/Data Analytics

Tools

FastAPI

gRPC

OpenCV

PyTorch

Ultralytics YOLO

Job description

Responsibilities

• AI Solution Development
• Design, develop, train, and deploy AI/ML models for:
• Video Analytics
• Object Detection and Tracking
• Facial Recognition
• License Plate Recognition (LPR/ANPR)
• Person Re-Identification
• Behaviour Analytics
• Multimodal AI applications
• Generative AI and LLM-based solutions
• Build end-to-end AI pipelines from data ingestion through model deployment and monitoring
• Evaluate and benchmark state-of-the‑art AI models and frameworks
• Design and build user-facing application layers across the full CV lifecycle: data curation tools, training dashboards, evaluation, deployment workflows, and monitoring
• Own backend services (Python, FastAPI, gRPC) that power automated CV pipelines—integrating data prep, augmentation, model training, and evaluation into seamless agent‑driven workflows
• Build scalable APIs with clean contracts, versioning, and documentation that internal teams and platform agents consume
• Integrate and wrap CV toolkits (PyTorch, OpenCV, Ultralytics YOLO) so the platform can orchestrate them programmatically
• Implement orchestration layers for multi‑step pipelines with retry, rollback, and SLA guarantees

Requirements

• Degree in Computer Science, Engineering, Information Technology, Data Analytics, Data Science, Image Processing or equivalent competencies
• At least 3 years of experience in production deployment of AI solutions
• Competent in at least one programming language (e.g. Python, JavaScript,Java). Interest and ability to gain expertise in other programming languages, frameworks, and technologies
• Able to contribute to architecting and engineering for AI would be a strong plus
• Proven track record delivering AI projects from concept to deployment

Knowledge and experience with any of the following software engineering domains would be an advantage:

• Web development
• End-to-end implementation of production‑grade solutions, optimized for scalability, stability and performance
• Big data technologies
• Container technologies
• Data analytics, machine learning and artificial intelligence
• Design, implement, and evaluate deep learning algorithms and models
• Computer Vision foundational concepts
• Vision-language models
• Image preprocessing and retrieval (semantic and visual retrieval, detection, embeddings etc)
• Video preprocessing and retrieval (temporal context, clip-level indexing)

Resourceful and meticulous professionals who are passionate about delivering AI-powered capabilities

Licence no: 12C6060