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Our client is at the forefront of innovation, building the most advanced AI platform in their market to empower clients with unmatched speed and accuracy.
Over the years, they've demonstrated a strong commitment to cutting-edge technology by heavily investing in their ML stack, partnering with leading universities, and training models on millions of expertly tagged images. As they expand globally, they are seeking a visionary leader to push the boundaries of computer vision, video analysis, and multimodal LLMs, solving real-world challenges.
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
- Work with engineering, product, and business stakeholders to align ML strategy with business goals
- 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 frameworks like FastAPI
- Solid machine learning and computer vision background, with a track record of deploying real models to production
- Hands-on experience with computer vision training and labeling toolchains (e.g., Roboflow), including dataset management and model evaluation
- Experience with Azure AI services (e.g., Azure AI Foundry, Azure OpenAI) or equivalent cloud AI stacks with an ability to adapt quickly
- Practical understanding of working in regulated or compliance-sensitive environments, including data residency, de-identification, model governance, and auditability
- Strong judgment in scoping problems and determining when a model is ready for deployment
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What's On Offer
- Opportunity to work on a cutting-edge AI platform
- Collaborative environment with leading experts
- Chance to influence the future of AI technology
- Professional development and growth opportunities
Apply via Haystack today!
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