• Lead to the full range of development stages for AI/ML projects, from early explorations to productization and maintenance. • Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets. • Design and implement strategies to deploy LLMs and for fine-tuning. • Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques. • Drive adoption of ML development best practices in code health, quality, test stability and maintainability. • Participate in technical discussions within the Labs team and collaborate with other teams across the organization. • Work in an Agile development team focused on exploring and delivering ML use cases.