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Senior Business System Architect – AI and ML
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $140000 – $264500 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s Degree in Information Technology, Computer Science, new technologies, or equivalent experience
- Proven 8+ years of experience as a motivator in building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC)
- Minimum 5+ years of experience delivering AI/ML frameworks
- Experience with some or all of the following technologies to build analysis and drive insights from data (MS SQL, Python, R, Tableau, Excel, Azure AWS)
- Agile software development experience tools such as Jira, Confluence
- Logical problem solver, results-oriented, and with excellent project management, communication, and analytical skills
- Independent and motivated individual who requires little supervision and demonstrates good judgment and decision-making skills
- Strong written and verbal communication and conscientious listening skills and ability to lead teams and influence others
- Continuous Capability improvement implementations experience
Responsibilities
- Collaborate with Business users to transform the business requirements into system-based solutions passionate about the Enterprise Engineering platforms
- Identifies challenges, opportunities, and gaps in the business processes and helps build technology strategy and roadmap to address them
- Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows for our Manufacturing systems
- Analyze, improve, and maintain Client-Server architecture, SAAS solutions, etc.
- Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects from requirements definition and testing to project planning and implementation
- Work cross-department, cross-project, and across the globe to collect requirements, build project plans, get approval, and complete delivery of Engineering solutions using good communication and partnership techniques
Preferred Qualifications
- Background in the semiconductor / High tech industry is plus
- Experience with web technologies & architecture: HTML, JSON, Javascript, CSS, and XML is plus
- Knowledge of Engineering & Manufacturing Applications, Lean Six Sigma, and 5 Why methodologies is a plus
