Computer Vision, Machine Learning Engineer
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Job Description
Computer Vision & Machine Learning Engineer for Data Meaning working on AI-driven video analytics initiatives in retail environments. Focus on operational efficiency, safety monitoring, and real-time detection systems.
Responsibilities:
- Develop, test, fine-tune, and optimize computer vision and object detection models using video and image datasets
- Support the deployment of ML models in production or near-production environments
- Analyze and process large-scale visual datasets, including annotation workflows and video sample preparation
- Build new models and adapt pre-trained models to support operational and safety-focused use cases
- Evaluate technical feasibility and prioritize AI/ML use cases according to business timelines and delivery goals
- Collaborate with cross-functional stakeholders including Infrastructure, Operations, AI Engineering, and business teams to translate operational requirements into technical solutions
- Contribute to the development of real-time detection and alerting capabilities using camera-based systems
- Support rapid prototyping and MVP delivery initiatives within fast-paced environments
Requirements:
- Advanced English communication skills
- Strong hands-on experience with Computer Vision and Object Detection frameworks such as YOLO, TensorFlow, PyTorch, or similar technologies
- Experience training, fine-tuning, validating, and deploying Machine Learning models
- Background working with image and video data pipelines
- Familiarity with annotation tools, labeling workflows, and visual dataset management
- Experience working with cloud-based Machine Learning infrastructure, preferably within Azure environments
- Strong understanding of ML engineering best practices and scalable deployment approaches
- Ability to work independently while collaborating effectively within cross-functional teams
Benefits:
- 5 months contract with possibility of extension
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