Design complex systems of systems for training and running machine learning models with industry best practice
Define projects and scope for teams of engineers and guide their completion
Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
Deliver on company initiatives and prioritize projects supporting your long-term technical vision
Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
Participate in peer design and code reviews
Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead
Requirements & Skills:
BS degree in a STEM major or equivalent job experience required; Master’s Degree preferred; AI/ML coursework preferred
2+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
5+ Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability, and reliability
Cloud Certification Strongly Preferred
Machine learning implementation and project experience using cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.)
Experience implementing MLOps and the automated training/deployment/monitoring of models in production systems.
Google Cloud Platform experience is strongly preferred
Experience using GCP’s ML/AI suite of tools, especially Gemini, Vertex AI Platform & Notebooks, Vision AI, Document AI, and BigQuery ML.
A natural curiosity for domain knowledge of business practices the AI/ML project is trying to solve
