2 months ago
Base Salary
$131k - $195k/yr
Responsibilities
- Design, build, and implement complex, scalable, and secure GenAI and ML applications and models on AWS.
- Provide technical guidance and implementation support throughout customer project delivery.
- Gather requirements, assess infrastructure, and propose model training, building, deployment, and AWS migration strategies.
- Advise customer stakeholders on industry trends, emerging technologies, and innovative solutions.
- Optimize solution performance and manage delivery risks while following best practices.
- Mentor and train colleagues and create reusable organizational artifacts.
Requirements
- Experience developing software in one or more programming languages, such as Java or Python.
- Experience managing and deploying machine learning products.
- Preferred AWS Professional-level certification or a bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or a related field.
- Preferred experience with machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing, or related applications.
Benefits
- Amazon offers health, dental, vision, prescription, Basic Life and AD&D insurance, optional supplemental life plans, Employee Assistance Program, mental health support, Medical Advice Line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The compensation package may include sign-on payments and restricted stock units.
- The role is offered in Tampa, Atlanta, Chicago, Minneapolis, Jersey City, Austin, Dallas, Arlington, and Herndon, with location-specific base salary ranges.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.