Nvidia Senior Business System Architect AI ML 

United States, California 

325699876

What you'll be doing:

• 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.

What we need to see:

• 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

Ways to stand out from the crowd:

• 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.