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- Tasks: Lead the development of cutting-edge Visual AI for retail, focusing on real-time performance and team mentorship.
- Company: Join a fast-growing tech company transforming the retail industry with innovative Visual AI solutions.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth in a dynamic environment.
- Why this job: Be part of a revolutionary project that impacts the retail landscape while working with a passionate team.
- Qualifications: Experience in deploying ML models, especially on mobile platforms, and a strong interest in synthetic data generation.
- Other info: Ideal for those who thrive in collaborative settings and want to make a tangible impact in tech.
The predicted salary is between 72000 - 108000 £ per year.
A fast-growing tech company, recently backed by $6m+ in Series A is transforming the Retail Industry through cutting-edge Visual AI. They are now hiring a Head of AI to help them advance the next generation of Visual AI, achieving production-level performance for mobile and edge environments at scale.
Role Responsibilities
- Lead the roadmap for applied computer vision models, from synthetic training pipelines to real-time inference, optimised for diverse retail and CPG use cases.
- Oversee development across detection and recognition tasks, ensuring low-latency, high-accuracy performance under varied shelf conditions.
- Expand and refine our synthetic data generation strategies, enhancing generalisation through domain adaptation and robust pre-training.
- Collaborate closely with Product, Infrastructure, and Customer teams to ensure seamless field deployment.
- Grow and mentor a team focused on scalable architectures and automation.
- Drive the design of a highly generalisable large vision model optimised for dynamic retail environments.
Ideal Profile
- Proven experience shipping ML models into production, preferably on mobile or edge platforms.
- Hands-on background with synthetic data generation and large vision models (or strong interest in these areas).
- Strong bias for practical, impact-driven development over purely academic results.
- Ability to break down ambitious goals into executable technical strategies, leading teams with a focus on speed, collaboration, and reliability.
Nice-to-have Experience
- Leading high-performing engineering teams.
- Background in CPG, retail technology, or real-world applied computer vision.
Director Project Development employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director Project Development
✨Tip Number 1
Network with professionals in the AI and retail technology sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in Visual AI.
✨Tip Number 2
Showcase your hands-on experience with synthetic data generation and large vision models through personal projects or contributions to open-source initiatives. This practical demonstration can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of how you've led teams in delivering ML models into production. Highlight your ability to break down complex goals into actionable strategies that drive results.
✨Tip Number 4
Familiarise yourself with the challenges faced in retail environments, particularly around low-latency and high-accuracy performance. Understanding these nuances will help you articulate your vision for optimising AI solutions in this space.
We think you need these skills to ace Director Project Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and computer vision. Focus on projects where you've successfully shipped ML models, especially in mobile or edge environments.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience with synthetic data generation and large vision models. Discuss how your practical approach aligns with the company's goals and how you can contribute to their mission.
Showcase Leadership Skills: If you have experience leading engineering teams, make it prominent in your application. Provide examples of how you've mentored team members and driven projects to success, particularly in fast-paced environments.
Highlight Collaboration Experience: Demonstrate your ability to work cross-functionally by mentioning any past collaborations with product, infrastructure, or customer teams. This will show that you can ensure seamless deployment and integration of AI solutions.
How to prepare for a job interview at Brio Digital
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with machine learning models, especially in production environments. Highlight specific projects where you've successfully implemented synthetic data generation or large vision models, as this will demonstrate your capability to meet the company's needs.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, be ready to share examples of how you've effectively collaborated with product, infrastructure, and customer teams in the past. This will show that you can ensure seamless field deployment and drive successful outcomes.
✨Demonstrate Leadership Qualities
If you have experience leading engineering teams, make sure to highlight this during the interview. Discuss your approach to mentoring and growing a team, as well as how you foster a culture of speed, collaboration, and reliability.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges or case studies during the interview. Be ready to break down complex problems into executable strategies, showcasing your practical, impact-driven development mindset. This will illustrate your ability to tackle ambitious goals effectively.
