ML/AI Engineer

What you will do:

• Develop and improve computer vision and deep learning models for production applications

• Work on detection, tracking, and re-identification related tasks

• Build reliable evaluation, benchmarking, and validation workflows

• Optimise model performance for real-world deployment environments

• Collaborate with backend, platform, and product teams to integrate AI capabilities into production systems

• Analyse model performance, troubleshoot issues, and improve system reliability

• Contribute to tooling, experimentation pipelines, and technical decision-making

• Support continuous iteration through data-driven experimentation and validation

What you will need:

• Strong Python development skills with solid software engineering practices

• Hands-on experience with deep learning and computer vision

• Practical experience in areas such as:

• Object Detection

• Multi-object Tracking

• Re-Identification

• Strong understanding of model evaluation methodologies and CV metrics

• Experience exporting and validating models using ONNX or similar frameworks

• Comfortable troubleshooting model, data, or inference-related issues

• Ability to work across both ML research and engineering implementation

• Comfortable using AI-assisted development tools effectively

• Good English communication skills for collaboration with international teams

Nice-to-haves:

• Experience with Vision-Language Models (VLMs)

• Video-based or multi-camera AI systems

• OpenVINO optimisation and quantisation (FP16 / INT8)

• Real-world AI deployment experience in industries such as retail, manufacturing, or smart environments

• Experience maintaining ML evaluation or benchmarking pipelines