LEAD ENGINEER AI

at  Puma

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.

• Design and develop end-to-end AI/ML systems, including data pipelines, model training, and deployment in production environments
• Lead the development of algorithms and models for various applications, such as recommendation systems, predictive analytics, image processing, and natural language processing (NLP).
• Ensure that AI solutions are scalable, reliable, and performant in real-world production environments
• Lead the deployment of AI models into production, ensuring they are robust, scalable, and capable of handling large-scale data and high traffic volumes
• Implement model monitoring and performance tracking systems to ensure models remain accurate and reliable over time
• Drive continuous improvements to AI systems through A/B testing, model retraining, and performance optimization and ensure AI/ML models are developed with high code quality, clear documentation, and thorough testing
• Drive the implementation of best practices in model development, version control, continuous integration (CI), and testing in AI workflows
• Lead a team of AI engineers, guiding the team in the design and implementation of complex AI systems
• Mentor and coach junior and mid-level engineers, helping them grow their technical skills and ensuring alignment with best practices in AI development
• Stay updated on the latest trends in AI and machine learning and bring fresh ideas and technologies to the team
• Work closely with product managers, data scientists, and business stakeholders to understand requirements and translate them into AI-driven solutions
• Collaborate with data engineers to ensure clean, accessible, and structured data for model training and validation and Partner with other engineering teams to integrate AI models into Puma’s broader tech stack, ensuring seamless deployment and scaling
• Foster a culture of innovation, encouraging experimentation and out-of-the-box thinking within the AI team