Senior Software Engineer, Enterprise AI - ML Training
- Define architecture and its plan to build robust, scalable, distributed systems for Enterprise AI
- Lead implementation of critical systems while maintaining reliability
- Work with other teams to maximize infrastructure usage and build efficient solutions for heavy tasks
- Collaborate with other teams in Woven by Toyota to integrate services in machine learning model development lifecycle
- Work closely with teammates to establish and improve development standardsImplement CI/CD best practices for our services.
- Analyze and monitor our servicesResponding to incidents and taking on-call for systems in production
- Bachelor's degree in computer science, AI/ML, or related & 5 or more years of relevant work experience
- Strong experience with Kubernetes in production and container technologies
- Strong experience with event-driven, distributed, and cloud architectures
- Experience with Python, Golang, or related programming languages
- Knowledge of best practices for scalability, reliability, and security
- Understanding of DevOps best practices
- Ability to speak business-level English with a collaborative spirit for effective stakeholder partnerships
- Experience with databases and blob storage
- Familiarity with Kubeflow or Flyte
- Production system management, monitoring, and analysis
- Understanding of machine learning development life cycle
- Working knowledge of cloud infrastructure (e.g., AWS, GCP)
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