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Urgent! ML Computer Vision Engineer – End-to-End Vision Systems Job Opening In North East Community Development Council – Now Hiring ST Engineering
We're looking for a hands-on ML CV Engineer to lead the development and deployment of robust, production-grade computer vision pipelines.
In this role, you'll own the full lifecycle of CV models - from data curation and preprocessing, through model training and evaluation, to deployment, monitoring, and automated retraining.
You'll play a critical role in ensuring our vision systems remain accurate, responsive, and scalable under real-world conditions.
Your work will directly impact applications involving image classification, object detection, segmentation, and other visual inference tasks.
This is a role for someone who thrives in full-stack ML development, combining deep modeling expertise with disciplined engineering and deployment practices.
End-to-End Vision Systems
● Build computer vision pipelines covering data ingestion, cleaning, augmentation, and preprocessing.
● Train and optimize CV models (classification, detection, segmentation) with PyTorch, TorchVision, and modern frameworks (YOLO, Detectron2, MMDetection, DINO).
● Automate evaluation workflows to benchmark performance and detect drift over time.
Production Deployment & Integration
● Deploy models with containerized environments (Docker, TorchServe, ONNX Runtime, BentoML) and expose via APIs (REST/gRPC).
● Collaborate with engineers to integrate models into larger platforms with reliability at scale.
Automation & Orchestration
● Design automated pipelines for data validation, retraining, and deployment (RPA).
● Implement workflow orchestration with Airflow, Prefect, or Dagster for scheduled training, monitoring, and failure recovery.
Monitoring & Reliability
● Monitor production performance, detect drift, and handle recovery gracefully.
● Build alerting and observability with Prometheus, Grafana, or OpenTelemetry.
Collaboration & Tooling
● Contribute to MLOps tooling for reproducibility, experiment tracking, and data versioning (MLflow, wandb).
● Work with AI Engineers to ensure clean integration with orchestration frameworks.
● years of ML or CV engineering, including 3+ years building production-grade vision systems.
● Strong knowledge of CV tasks and architectures (classification, detection, segmentation).
● Proficient in PyTorch, TorchVision, Albumentations, and modern CV frameworks.
● Proven experience training and tuning models on real-world datasets.
● Skilled in production deployment (Docker, TorchServe, ONNX Runtime, BentoML, Kubernetes).
● Strong software engineering foundation: clean Python, Git workflows, testable architecture.
● Experience with ML orchestration tools (Airflow, Prefect, Dagster).
● Familiarity with monitoring and alerting systems for ML models.
● Small, agile team (5–6 engineers + interns) with autonomy and real ownership.
● Startup feel with a big company resources:
○ International environment where the majority of the team and leadership is from startups or big international corporations and from various countries.
○ Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.
○ Experimentation and self-development are in our culture
○ Knowledge sharing and collaboration
● Direct collaboration with top AI researchers and computer vision scientists.
● Hybrid work setup: ~2–3 days in office per week.
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Unlock Your ML Computer Potential: Insight & Career Growth Guide
Real-time ML Computer Jobs Trends in North East Community Development Council, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Computer in North East Community Development Council, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 375 jobs in Singapore and 16 jobs in North East Community Development Council. This comprehensive analysis highlights market share and opportunities for professionals in ML Computer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ST Engineering is currently hiring and seeking a ML Computer Vision Engineer – End to End Vision Systems to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ST Engineering adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Computer Vision Engineer – End to End Vision Systems Jobs Singapore varies, but the pay scale is rated "Standard" in North East Community Development Council. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Computer Vision Engineer – End to End Vision Systems typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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