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Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the Haystack Enterprise Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI with full control, transparency, and sovereignty. Backed by GV and Balderton, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.
Senior Solution Engineer
Location
DACH
Posted
91 days ago
Salary
0
Seniority
Senior
Job Description
Senior Solution Engineer
deepset
Role Description As a Solution Engineer at deepset, you will apply cutting-edge NLP techniques to real-world enterprise problems. You will develop deep expertise across the full spectrum of NLP methods within Haystack including: - Dense retrieval - Question Answering - Generative QA - Summarization - RAG pipelines You will collaborate closely with our open-source and product teams to shape the best solutions for each engagement. This role sits at the intersection of professional services consultant, senior AI/NLP engineer, and trusted technical advisor. Exemplary engagement: You will partner with data scientists from a leading aerospace corporation to enhance search functionality across pilot manuals. This means: - Understanding their data and domain - Evaluating methods (DPR, QA, TableQA) against their requirements - Designing annotation workflows for expert labellers - Continuously analysing incoming labels - Training and iterating models - Driving step-by-step performance improvements until production targets are met Qualifications - Fluency in German (C1/C2 or native) and strong professional English - 5+ years of industry experience applying data science or NLP methods to real-world data - University degree in Computer Science or a comparable qualification - Proficiency in Python and strong working knowledge of ML/DL/NLP methods and recent model architectures (Transformers, LLMs, retrieval models) - Hands-on experience with Haystack, Hugging Face Transformers, PEFT, or comparable NLP frameworks - Experience managing customer-facing projects: defining scope, setting timelines, communicating results - Excellent communication skills with both technical (data scientist, ML engineer) and non-technical (business, C-suite) stakeholders - An intense desire to learn and a track record of rapidly acquiring new skills Requirements - Data science consulting experience and/or hands-on experience with data annotation workflows (nice to have) - Experience with deepset Cloud or other enterprise NLP/search platforms (nice to have) - Familiarity with dense retrieval (DPR), Question Answering, generative QA, TableQA, and Summarization methods (nice to have) - Understanding of RAG architectures and vector databases (e.g. Weaviate, Pinecone, OpenSearch) (nice to have) - Experience with model fine-tuning via PEFT (LoRA, QLoRA) and large-scale data curation (nice to have) - Contributions to open-source NLP libraries or a public technical profile (blog, talks, GitHub) (nice to have) - Aspiration to grow into a senior expert or team lead position as the Solutions team scales (nice to have) Benefits - Competitive salary + equity (ESOP). We benchmark against above European AI companies. - Remote-first culture with optional access to Munich and Berlin offices. Flexible working hours. - Work on the frontier of enterprise AI. Your solutions will go into production at household-name companies. - Learning budget, conference attendance, access to the best minds in open-source NLP and LLMs. - Transparent, low-ego team. English as the working language, diverse and international colleagues. - 30 days PTO, company offsites, home office setup budget, and more.
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