Advanced AI Architect
Job Overview
We are seeking a highly skilled Senior Machine Learning Engineer to lead the next wave of Generative AI infrastructure. This role will empower our teams by building secure,
- optimized, and
- friendly ML platforms that scale across use cases and products.
This position requires 5+ years of experience in developing and deploying ML systems in production, with
- on experience in scaling infrastructure and ensuring service reliability. Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems is also essential.
The ideal candidate will have a solid understanding of Large Language Model (LLM) systems, Generative AI applications, or ML/AI platform components. They should be proficient in at least one
- side language (Python, Java, Scala, Golang, or Ruby) and have a grounding in testing and CI/CD workflows.
The successful candidate will work closely with Staff Engineers, Tech Leads, Product Managers, and other ML teams to deliver robust,
- grade systems that accelerate the impact of AI across our organization.
Some of the key responsibilities include:
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- Building benchmarking frameworks for LLMs, including A/B testing and offline evaluation capabilities.
- Contributing to the design and implementation of our LLM Proxy to enable safe, observable, and
- optimized access to multiple foundation models. - Partnering with applied ML, product, and platform teams to ensure Gen
AI infrastructure meets the needs of diverse product use cases. - Implementing best practices for monitoring, observability,
- limiting, and cost attribution for LLM services. - Establishing strong engineering practices around observability, reliability, security, and cost monitoring.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeMachine Localização: Lisboa
São Domingos de Rana, Lisboa, PortugalPublicado: 14. 9. 2025
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