Stellenangebot: Machine Learning Engineer (m/f/d)

Über uns

IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.

Aufgaben

• This role focuses on building cutting-edge language and speech technologies that power multilingual understanding, intelligent transcription, and semantic extraction across diverse audio and text data streams
• Design and implement NLP models for Named Entity Recognition (NER), translation, and semantic parsing across multiple languages
• Develop and fine-tune LLM-based architectures for context-aware transcription and multilingual understanding

Profil

• Experince with Translation (on-Premise)
• ML Ops experience and Transcription
• Natural Language Processing (NLP): NER, translation, tokenization, semantic modeling
• Large Language Models (LLMs): fine-tuning, prompt engineering, model evaluation
• Automatic Speech Recognition (ASR): audio segmentation, phoneme modeling, decoding
• Signal Processing: noise reduction, feature extraction (MFCC, spectrograms), audio enhancement
• Transcription: diarization, speaker identification, multilingual transcription
• Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, ESPnet, Kaldi

Wir bieten

• A highly motivated team and an open way of communication

Ihr Kontakt

Ansprechpartner
Romy Noetzold

Referenznummer
847322/1

Kontakt aufnehmen
E-Mail: romy.noetzold@hays.de

Anstellungsart
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