Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
About the role
- Lead Staff Engineer for Machine Learning at GEICO providing leadership across engineering teams and managing complex enterprise-class business applications. Responsible for quality, usability, and performance of solutions in a growth-focused environment.
Responsibilities
- Focus on multiple areas and provide leadership to the engineering teams
- Own complete solution across its entire life cycle
- Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
- Accountable for the quality, usability, and performance of the solutions
- Lead in design sessions and code reviews to elevate the quality of engineering across the organization
- Utilize programming languages like .NET, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
- Mentor more junior team members professionally to help them realize their full potential
- Consistently share best practices and improve processes within and across teams
Requirements
- Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
- Experience in building products using micro-services oriented architecture and extensible REST APIs
- Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
- Experience with continuous delivery and infrastructure as code
- Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
- Experience in leveraging PowerShell scripting
- Experience in existing Operational Portals such as Azure Portal
- Experience with application monitoring tools and performance assessments
- Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services
- Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth
- Experience in Azure Network (Subscription, Security zoning, etc.)
- Experience in Genesis
- In-depth knowledge of CS data structures and algorithms
- Strong problem-solving ability
- Ability to excel in a fast-paced, startup-like environment
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
Benefits
- Great Company
- Great Culture
- Great Rewards
- Great Careers
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