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Our client
Our client is at the forefront of innovation, developing an advanced AI platform that redefines how businesses serve their customers with unparalleled speed and precision. They have invested significantly in their machine learning infrastructure, collaborating with leading academic institutions and training models on millions of expertly tagged images.
The Role
- Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning)
- Fine-tune, evaluate, and productionise multi-modal LLMs for business applications
- Drive experimentation and prototyping of advanced ML/AI techniques
- Provide technical direction, mentoring, and hands-on guidance to the data science team
- Architect and productionise end-to-end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring of deployed models
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What You'll Need
- Strong, current Python skills, including building and maintaining production services with FastAPI or similar
- Solid machine learning and computer vision background, with experience shipping real models to production
- Hands-on experience with a computer vision training and labelling toolchain such as Roboflow
- Experience with Azure AI services like Azure AI Foundry and Azure OpenAI, or equivalent cloud AI stack expertise
- Practical understanding of working in a regulated environment, including data residency, de-identification, and model governance
- Ability to scope and define problems effectively and discern when a model is ready for deployment
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What's On Offer
- Opportunity to push the boundaries of computer vision, video analysis, and multimodal LLMs
- Work on solving real-world challenges with high-impact AI solutions
- Collaborate with engineering, product, and business stakeholders to align ML strategy with business goals
- Be a key technical leader in a rapidly scaling global company
Apply via Haystack today!
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