Overview
4 Corner Resources is searching for a Machine Learning Engineer to support the development and deployment of advanced CV models in a production environment. This role combines deep learning expertise with infrastructure engineering, contributing to scalable ML workflows that power real-world applications.
Responsibilities
- Deploy and optimize high-performance CV models (e.g., YOLO, OWL) for speed and accuracy
- Build scalable training and deployment pipelines using Kubernetes and Ubuntu-based systems
- Conduct hyperparameter tuning and model optimization to align with technical and business KPIs
- Develop reusable tools for model evaluation, monitoring, and performance tracking
- Work cross-functionally to integrate CV models into production environments and automate the ML lifecycle
- Stay informed on emerging research in computer vision and apply cutting-edge methods (e.g., foundation models, prompt-based detection)
Qualifications
- Proven experience deploying computer vision models in real-world environments
- Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow)
- Hands-on experience with containerization, orchestration (Kubernetes), and Linux-based systems
- Solid understanding of MLOps best practices and production ML pipelines
- Familiarity with modern CV techniques and the ability to translate research into practical solutions
Location
Hybrid (Onsite/Remote)
Duration
6-month contract
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Hospitality
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