Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
LATAM Geo Leader, Generative AI Innovation Center (Generative AI/Machine Learning): Leading forward-deployed teams that architect and deliver production AI solutions for enterprise customers with an accent on technical leadership, customer transformation, and commercial strategy. Focus on building agentic AI architectures, operationalizing repeatable delivery models, and managing scientists and machine learning engineers.
Location: São Paulo, Brazil
Company
Amazon Web Services is a global cloud platform helping startups and large enterprises build and operate technology solutions.
What you will do
- Lead ML engineers, AI scientists, and AI strategists delivering enterprise generative AI solutions.
- Architect and operationalize AI systems that move into production and generate measurable business value.
- Engage with CFOs, CIOs, C-suite executives, customers, partners, and AWS commercial teams.
- Drive customer transformation through focused delivery sprints and scalable implementation practices.
- Hire, develop, and retain high-quality technical talent across science and engineering.
- Coordinate with AWS Sales, service teams, industry teams, and Professional Services.
Requirements
- 5+ years of experience building quantitative solutions as a scientist or science manager.
- 3+ years of experience managing scientists or machine learning engineers.
- 5+ years of applying statistical models to large-scale applications and building automated analytical systems.
- Master’s degree in computer science, mathematics, statistics, machine learning, or an equivalent quantitative field.
- Knowledge of Python, R, or another scripting language.
- Ability to combine technical depth, customer engagement, business strategy, and team leadership.
Nice to have
- Experience with machine learning areas such as NLP, regression, classification, clustering, or anomaly detection.
- Experience addressing fairness and bias in machine learning and artificial intelligence systems.
- PhD in computer science, mathematics, statistics, machine learning, or an equivalent quantitative field.
Culture & Benefits
- Inclusive culture supported by employee-led affinity groups.
- Mentorship, knowledge sharing, and career development resources.
- Flexible work hours and arrangements supporting work-life harmony.
- Exposure to large-scale cloud and enterprise AI transformation initiatives.
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