VP AI Architecture

Job description:

Stats Perform is looking for a VP AI Architecture to join the team based in Europe. The successful VP AI Architecture will play a key role in designing and implementing advanced AI solutions, including Generative AI, Machine Learning, and Deep Learning , tailored to the sports data industry.

In this role, the AI Architect will be responsible for architecting scalable AI systems that effectively process and analyze vast amounts of sports data, with a focus on real-time processing, analytics, predictive modeling, and generative AI applications. The ideal candidate will have a deep technical background in AI technologies and practical experience applying AI to solve real-world problems in the sports industry

Required profile:

Responsibilities:

• AI System Architecture:

1. Design and implement scalable, end-to-end AI architectures for sports data analysis, leveraging Generative AI, ML, and DL technologies.
2. Architect systems for real-time data processing and predictive analytics, ensuring performance and scalability for handling large volumes of sports data.
3. Collaborate with DevOps to ensure AI solutions can be effectively integrated into production environments.

• Collaboration and Leadership:

1. Work closely with data scientists, developers, and managers to align AI initiatives with business objectives and deliver impactful AI-driven solutions.
2. Provide architectural guidance to the AI and software development teams, ensuring that AI technologies are efficiently deployed and maintained within the existing infrastructure.

• Innovation and Thought Leadership

1. Stay up-to-date with the latest advancements in AI, including breakthroughs in GenAI, ML, and DL, and explore their potential applications within the sports data industry.
2. Identify and advocate for new AI-driven opportunities to improve the company’s product offerings in areas like sports analytics, fan engagement, and player development.

• 5+ years of experience in AI/ML/DL architecture and development, with possibly experience in the sports data industry or similar domains.
• Proven experience with Generative AI (e.g., GPT, DALL-E), ML frameworks (e.g., TensorFlow, PyTorch), and DL techniques (e.g., CNNs, RNNs, transformers).
• Strong background in data analytics, including real-time data processing, video analysis, and predictive modeling.
• Proficiency in Python, and familiarity with AI tools and frameworks.
• Experience architecting cloud-native AI solutions using platforms like K8s, AWS, GCP.
• Solid understanding of data pipelines, ETL processes, and data integration methods.
• Excellent problem-solving skills and the ability to think strategically about AI architecture in sports contexts.

• Familiarity with real-time streaming data and AI-based video processing in sports analytics.
• Ability to articulate complex AI concepts to non-technical stakeholders.

What we offer:

Why work at Stats Perform?
Well, why not? We’re a unique organization with a unique culture of care, competition and collaboration. Our ‘One Team’ ethos means that we take care of each other, through initiatives such as Mental Health Days Off and ‘No Meeting Fridays’ and of course, flexible working.
We pull together to build a better environment for all – from volunteering activities to fundraisers to participating in Employee Resource Groups. We will embrace all you have to offer at Stats Perform – your ideas, your passion, your life experiences and in return we’ll give you a great place to work.

Diversity, Equity and Inclusion at Stats Perform
By joining Stats Perform, you'll be part of a team that celebrates diversity. You will be contributing to an organization that is committed to ensuring a sense of belonging and inclusivity is felt by all. We’re collectively responsible for creating and maintaining an inclusive environment, and that’s why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation, more creativity and ensures we’re best placed to serve our clients and our communities, so we will continue to seek diversity and equity in all we do.