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Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer - East (AI): Helping enterprise ML and GenAI teams evaluate and improve AI applications in production with an accent on model evaluation, deployment, and customer-facing technical advisory. Focus on demonstrating an observability platform, translating customer insights into product roadmap improvements, and supporting expansion across enterprise accounts.
Location: Remote within the US, with offices in New York City or San Francisco
Company
hirify.global is partnering with a well-funded Series C AI startup building an observability and evaluation platform for AI applications in production, serving Fortune 500 enterprises.
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 business conversations with directors and executives.
Advise on GenAI and ML best practices, model evaluation, and production deployment.
Demo the product to technical and non-technical audiences.
Bring customer insights into the product roadmap by collaborating with engineering and product teams.
Identify and drive expansion opportunities within existing accounts.
Requirements
Experience 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 explain complex technical concepts to any audience.
Nice to have
Customer-facing experience as a Solutions Architect, Sales Engineer, CSE, or Consultant.
Culture & Benefits
Permanent, full-time role within a growing Solutions Engineering team.
Remote work with offices available in New York City and San Francisco.
Opportunity to work with enterprise ML and GenAI teams and contribute customer insights to the product roadmap.
Hiring process
Apply or message the recruiter directly for more information.
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