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DEdeepset GmbH

Senior Solution Engineer(m/w/x)

München, Berlin
VollzeitRemoteSenior
AI/ML
Data Science

Guiding customers on Haystack and deepset Cloud usage for AI solutions at an NLP framework provider. German fluency (C1/C2) and hands-on Haystack/Hugging Face experience required. Equity (ESOP) and remote-first culture.

Anforderungen

  • Fluency in German (C1/C2 or native) and strong professional English
  • 5+ years industry experience applying data science or NLP methods
  • University degree in Computer Science or comparable qualification
  • Proficiency in Python; strong working knowledge of ML/DL/NLP methods and recent model architectures
  • Hands-on experience with Haystack, Hugging Face Transformers, PEFT, or comparable NLP frameworks
  • Experience managing customer-facing projects (scope, timelines, communication)
  • Excellent communication skills with technical and non-technical stakeholders
  • Intense desire to learn; rapid skill acquisition track record
  • Data science consulting experience or hands-on data annotation workflows experience
  • Experience with deepset Cloud or other enterprise NLP/search platforms
  • Familiarity with dense retrieval (DPR), Question Answering, generative QA, TableQA, Summarization methods
  • Understanding of RAG architectures and vector databases
  • Experience with model fine-tuning via PEFT (LoRA, QLoRA) and large-scale data curation
  • Contributions to open-source NLP libraries or public technical profile
  • Aspiration to grow into senior expert or team lead position

Aufgaben

  • Demonstrate Haystack and deepset Cloud functionality
  • Increase NLP awareness within customer organizations
  • Understand customer data, use cases, and needs
  • Craft optimal solutions for clients
  • Drive improvements for Haystack and deepset Cloud
  • Communicate with customers to define goals
  • Establish project timelines with clients
  • Report engagement results to customers
  • Rapidly prototype cutting-edge NLP methods
  • Evaluate NLP prototypes against customer data
  • Lead end-to-end technical delivery of AI solutions
  • Design annotation workflows for expert labelers
  • Analyze labels to improve models
  • Train and fine-tune large language models
  • Curate and optimize large-scale data
  • Contribute NLP/RAG improvements to Haystack
  • Contribute to other open-source libraries
  • Guide customer teams from prototype to production
  • Run technical workshops and enablement sessions
  • Build customer capabilities in Haystack and NLP
  • Represent the customer's internal voice
  • Provide domain knowledge to product teams
  • Share product feedback with internal teams
  • Track project performance metrics
  • Communicate progress to all stakeholders
  • Develop skills for future growth
  • Contribute to the deepset technical blog
  • Deliver conference presentations
  • Enhance Haystack community presence
  • Collaborate with sales and product teams
  • Translate customer insights into roadmap decisions

Berufserfahrung

  • 5 - 7 Jahre

Ausbildung

  • Bachelor-Abschluss

Sprachen

  • Deutschfließend
  • Englischverhandlungssicher

Tools & Technologien

  • Python
  • ML/DL/NLP methods
  • Transformers
  • LLMs
  • retrieval models
  • Haystack
  • Hugging Face Transformers
  • PEFT
  • deepset Cloud
  • DPR
  • Question Answering
  • generative QA
  • TableQA
  • Summarization methods
  • RAG architectures
  • Weaviate
  • Pinecone
  • OpenSearch
  • LoRA
  • QLoRA

Benefits

Attraktive Vergütung

  • Equity (ESOP)

Flexibles Arbeiten

  • Remote-first culture
  • Flexible working hours

Weiterbildungsangebote

  • Learning budget

Sonstige Zulagen

  • Conference attendance
  • Home office setup budget

Mehr Urlaubstage

  • 30 days PTO

Team Events & Ausflüge

  • Company offsites
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens deepset GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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