Senior GenAI Solutions Engineer

Amazon; Austin (TX); Vor Ort; USD 154.000 - 208.000; Vollzeit

Benefits dieser Stelle

Sign-on payments

Restricted stock units (RSUs)

Health insurance and benefits

Zusammenfassung

Amazon seeks a Machine Learning Engineer for AWS ProServe to architect and scale AI/ML solutions for customers. You will define use cases, train and fine-tune models, and guide implementation at scale within a cloud-first environment.

The role emphasizes collaboration with stakeholders, experiment-driven development, and applying GenAI responsibly to deliver business value. Strong customer-facing skills are important.

Qualifikationen

• 3+ years of cloud architecture and solution implementation experience.
• 5+ years of ML, statistics, data mining, and analytics experience.
• Experience in full software development life cycle and best practices.
• Experience defining GenAI benchmarks and model performance.
• Ability to translate complex solutions for technical and non-technical audiences.

Aufgaben

• Design and implement scalable AI/ML solutions on AWS for customers.
• Develop and deploy ML models and GenAI apps, optimize for scale.
• Identify high-value AI use cases with stakeholders and gather reqs.
• Provide guidance on responsible, cost-efficient AI deployment.
• Advise customers on latest AI/ML trends and data sources.
• Mentor teams, create reusable AI artifacts, prototype new tech.

Kenntnisse

Cloud architecture

ML techniques

GenAI concepts

Stakeholder communication

Experimentation

Jobbeschreibung

Amazon seeks a Machine Learning Engineer for AWS ProServe to architect and scale AI/ML solutions for customers. You will define use cases, train and fine-tune models, and guide implementation at scale within a cloud-first environment.

The role emphasizes collaboration with stakeholders, experiment-driven development, and applying GenAI responsibly to deliver business value. Strong customer-facing skills are important.