Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
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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