Senior ML Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior ML Engineer (AI Platform): Building and operating production-grade AI systems for equity research with an accent on LLMs, large-scale data pipelines, and financial reasoning. Focus on designing scalable inference infrastructure, implementing model lifecycle management, and collaborating with market experts to translate financial insights into high-impact product features.
Location: Must be based in or able to work from Prague, Czechia (Hybrid)
Company
is a leading media and entertainment company home to iconic brands like CNBC, USA Network, and Fandango, committed to delivering exceptional digital and direct-to-consumer experiences.
What you will do
- Design, build, and operate production-grade ML systems and LLM workflows.
- Own end-to-end delivery of AI features from data pipelines to inference and monitoring.
- Contribute to architectural decisions and technical standards for the AI platform.
- Solve complex technical problems with moderate ambiguity and high business impact.
- Identify and mitigate risks in AI systems, including performance regressions and bias.
- Collaborate with senior leadership and market professionals to inform product design.
Requirements
- Minimum 8 years of experience in software engineering with a focus on ML or AI.
- Strong proficiency in Python, TypeScript, or Java.
- Proven experience with LLMs, ranking/recommendation systems, or applied NLP.
- Solid understanding of modern ML techniques, including deep learning and representation learning.
- Experience building human-in-the-loop training or evaluation workflows.
- Must be able to attend in-person interviews in Prague, Czechia.
Culture & Benefits
- Work within a high-caliber, small team environment with high ownership and autonomy.
- Direct access to experienced market professionals and former hedge fund managers.
- Stability of a publicly traded media company combined with a startup-like execution speed.
- Opportunity to work on cutting-edge AI products with real user impact at scale.
Hiring process
- Selection process includes an in-person interview at a location.
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