Minneapolis, MN30+ days ago
Required Experience: 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions 3+ years previous Consulting leadership experience leading projects, expanding customer relationships, and ensuring delivery lead growth 4-year Bachelors degree in Computer Science or a related field Experience deploying machine learning models in a production setting Proven track record of account expansion, pre-sales, and proposal development Experience leading cross-functional teams of engineers, data scientists, and architects Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker) Expertise in Python, Scala, Java, or another modern programming language The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets Development of APIs and web server applications (e.g. As a Principal Solutions Architect on our Machine Learning Engineering team, you are responsible for: Technical Leadership and Delivery Excellence: ⢠Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals ⢠Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations ⢠Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders ⢠Mentor team members on best practices in AI/ML architecture, modeling, and technology ⢠Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.