2 дня назад
Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Advising enterprise ML and GenAI teams on production AI performance through model evaluation, deployment guidance, technical demos, and customer-facing engineering discussions with an accent on production ML systems and enterprise adoption. Focus on translating complex ML concepts for technical and executive audiences, improving AI applications, and feeding customer insights into the product roadmap.
Location: New York; remote work aligned with West Coast hours, with SF office access
Company
is partnering with a well-funded Series D AI startup building an observability and evaluation platform for AI applications in production.
What you will do
- Partner with enterprise ML and GenAI teams to understand and improve AI performance in production.
- Lead technical discussions with data scientists and engineers, and communicate with directors and executives.
- Advise customers on GenAI and ML best practices, model evaluation, and production deployment.
- Demonstrate the product to technical and non-technical audiences.
- Share customer insights with engineering and product teams to influence the product roadmap.
- Identify and drive expansion opportunities within existing enterprise accounts.
Requirements
- Background as a Data Scientist, ML Engineer, or Engineer working with ML or GenAI applications in production.
- Hands-on experience with AWS, Azure, or GCP.
- Familiarity with ML frameworks and LLM or agentic tooling.
- Strong understanding of the ML lifecycle, including feature generation, training, deployment, and real-time scoring.
- Proficiency in Python or another programming language.
- Strong communication skills and the ability to make complex technical concepts accessible to different audiences.
Nice to have
- Customer-facing experience as a Solutions Architect, Sales Engineer, CSE, or Consultant.
Culture & Benefits
- Remote work aligned with West Coast hours.
- Access to an SF office.
- Opportunity to work with enterprise ML and GenAI teams and Fortune 500 customers.
- Work in a growing Solutions Engineering team at a well-funded AI startup.
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