Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
Drive and define standards for AI/ML across the organization.
Provide guidance, technical leadership, and mentoring to other members of the team
Mentor junior members and participate in scaling up the existing team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture toward those ends
Develop a long-term plan for ML/AI investments
Requirements & Skills:
You have 8+ years of experience building, designing, and evolving data architecture for large-scale systems
Excellent communication skills
Experience working with Product teams, ensuring and driving a timely delivery
Have a deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams
Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
Passionate about ML engineering and interested in driving discussions with stakeholders and executives
Desire to keep learning new concepts and adapt to the start-of-the-art
Experience shipping reliable and scalable AI/ML products
Prior experience in a SaaS environment
Awareness of and experience with ML processes (exploration, training, testing, deployment, monitoring), technologies (services, packages), and ML Operations
Experience not only developing POC’s / new products but developing products that customers are adopting and using at large scale
A strong record of published work in technical forums, contributions to open source projects, or research innovations.
