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We're working with a company at the forefront of AI innovation, building the most advanced AI platform in their market to help clients serve customers with unmatched speed and accuracy. They have heavily invested in their machine learning stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they are scaling globally and seeking a world-class engineer to push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges.
The Role
- Spearhead machine-learning initiatives with a focus on computer vision, large language models, and production-ready ML pipelines.
- Act as the technical lead for the team, setting direction and guiding best practices.
- 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.
- Provide technical direction, mentoring, and hands-on guidance.
- Architect and productionise end-to-end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring.
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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 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 experience.
- Practical understanding of working in a regulated or compliance-sensitive environment.
- Ability to scope and define problems effectively and discern when a model is ready for deployment.
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What's On Offer
- Join a team at the forefront of AI innovation.
- Opportunity to work on cutting-edge computer vision, video analysis, and multimodal LLMs.
- Collaborative environment with leading experts and university partners.
- Drive the direction of machine learning initiatives and mentor a data science team.
Apply via Haystack today!
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