AI Engineering Manager

vor 1 Woche

Berlin, Berlin, Deutschland Impala Search Vollzeit 140.000 € - 160.000 € pro Jahr

Our client is at the intersection of real-time systems and next-generation AI, building distributed infrastructure for voice-first, real-time AI applications at scale. With over €190m in funding and valued at over €890m, they are redefining what modern infrastructure can unlock in a world shaped by seamless human–machine interaction. Their platform powers high-concurrency, low-latency dialogue systems, leveraging LLMs, event-driven architectures, and deeply integrated developer tooling.

Role Overview:

The AI Engineering Manager will lead a team of machine learning, backend, and data engineers focused on building a multilingual voice infrastructure from scratch. This includes everything from automatic speech recognition and text-to-speech to language detection, acoustic echo cancellation, and real-time orchestration of ML models in production.

Key Responsibilities:

  • Lead and grow a high-performing team of ML, backend, and data engineers, fostering collaboration and technical excellence.
  • Oversee the development, fine-tuning, and productionisation of ASR, TTS, language detection, and audio processing models.
  • Ensure scalable customisation of speech models across languages and client use cases.
  • Own orchestration services critical to real-time ML performance and reliability.
  • Work cross-functionally with product, platform, and AI research teams to align technical efforts with company strategy.
  • Coach and support team members, developing a culture of continuous learning and innovation.

Qualifications:

  • Strong professional background in ML engineering or data science.
  • People management experience, including leading ML-focused teams.
  • Proven experience in developing production-grade ML models, including monitoring, scaling, and lifecycle management.
  • Deep understanding of building and maintaining real-time ML services, ideally in cloud-native environments.
  • Strong track record of implementing engineering and ML best practices.

If you're excited about leading a team shaping the multilingual voice layer of next-gen AI - and turning technical complexity into scalable, human-centric products, we'd love to hear from you.

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