Intapp, an established software company pioneering AI/ML platforms, is committed to driving profound transformations across global multi-billion-dollar industries, focusing primarily on the Professional and Financial Services Industries (from Legal, Accounting, Investment Banking, etc). Our cross-functional team is solving challenging problems and leveraging the latest technologies in AI, ML, and NLP. With our main AI and Data hub in Berlin, Germany, we are powered by a dynamic and innovative team bringing expertise in production-ready solutions and natural language processing solutions at scale.
We are seeking talented individuals who are passionate about technology and have a proven track record in both building complex systems and supporting digital solutions. Candidates should have strong experience in end-to-end machine learning lifecycles and deploying NLP solutions in various industries.
You will work on a variety of NLP-driven projects, with a primary focus on document intelligence, to solve real-world business use cases. This includes:
In addition:
A minimum of 3+ years of experience in building end-to-end systems that leverage machine learning and natural language processing (NLP) technologies, including large language models (LLMs).
Proficiency in Python and experience with data preprocessing, feature engineering, and model evaluation techniques specific to NLP tasks.
Strong technical skills with cloud-based AI & big data solutions, and familiarity with NLP frameworks and tools such as Transformers, spaCy, NLTK, Hugging Face, and TensorFlow or PyTorch.
Experience in large scale and low latency solution design experience, modern methodologies and operating models, and familiarity with current MLOps best practices.
Excellent communication skills and the ability to work effectively with cross-functional teams.
Experience with knowledge representation and graph-based technologies, such as with knowledge graphs (RDF, property graphs) and/or ontologies. Also includes familiarity with tools, frameworks and graph databases such as Protégé, SparQL, Ontology API, Neo4j, GraphDB etc. Experience in integrating these systems into NLP pipelines and leveraging graph-based structures for enhanced data insights is a plus.
Hands-on experience working with vector databases (e.g., Weaviate, Milvus, ChromaDB etc).
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable model deployment and version control systems (e.g., Git).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for infrastructure management and knowledge of RESTful APIs for integrating and deploying ML models in production systems.
Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance.
In return for your passion, commitment, and collaborative approach, we offer:
Intapp Germany GmbH
Senior (5+ years of experience)
Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.
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