4 часа назад
AI Engineering Manager
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Manager (AI/ML): Leading teams that build and operate production AI/ML systems, including model training pipelines, inference infrastructure, monitoring, and scalable data platforms with an accent on hands-on engineering, technical leadership, and reliable deployment. Focus on designing model-serving architectures, addressing model drift and data-quality risks, and scaling engineering processes without sacrificing code quality.
Location: United States · Remote
Market compensation: $200,000–$350,000 annually
Company
is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.
What you will do
- Lead and grow an AI engineering team through hiring, mentoring, and technical standard-setting.
- Own delivery of AI/ML systems from exploration through production, including training pipelines, inference infrastructure, and monitoring.
- Partner with product and data science teams to turn business requirements into technical roadmaps and priorities.
- Drive architecture for scalable data pipelines, model serving, experiment tracking, and observability.
- Build engineering processes for model-driven development, including code reviews, testing, and deployment practices.
- Identify production risks such as model drift, data-quality issues, and performance degradation, and communicate tradeoffs to stakeholders.
Requirements
- 5+ years of hands-on AI/ML engineering experience, including at least 2 years in a leadership or senior technical role.
- Production experience shipping AI systems such as model-serving platforms, inference optimization, or data pipelines.
- Strong Python skills and familiarity with PyTorch, TensorFlow, or equivalent AI/ML frameworks.
- Experience with MLOps tooling and technical team leadership or mentoring.
- Ability to remain hands-on while making strategic AI engineering decisions and validating technical approaches.
Culture & Benefits
- Candidate-network opportunity for future AI engineering leadership roles rather than one specific current opening.
- Work focused on balancing rapid iteration, system reliability, engineering quality, and business outcomes.
- Access to job-market tools and data covering AI transformation roles, salaries, skills, and hiring trends.
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