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Senior Solution Engineer(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- 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
Competitive Pay
- Equity (ESOP)
Flexible Working
- Remote-first culture
- Flexible working hours
Learning & Development
- Learning budget
Additional Allowances
- Conference attendance
- Home office setup budget
More Vacation Days
- 30 days PTO
Team Events
- Company offsites
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Senior Solution Engineer(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- 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
Competitive Pay
- Equity (ESOP)
Flexible Working
- Remote-first culture
- Flexible working hours
Learning & Development
- Learning budget
Additional Allowances
- Conference attendance
- Home office setup budget
More Vacation Days
- 30 days PTO
Team Events
- Company offsites
About the Company
deepset GmbH
Industry
IT
Description
The company is an AI startup that empowers developers to build applications using natural language as the interface to data.
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