Machine Learning Engineer (NLP)

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.

What you will do:

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 developing classification models, implementing information extraction techniques to derive actionable insights from unstructured text, building text generation models for content creation and summarization, and enhancing recommendation and search algorithms through semantic search, ranking and query understanding.

1. Design, develop, and maintain AI/ML solutions across a range of Intapp’s products.
2. Apply knowledge in data processing, refinement, and advanced NLP techniques.
3. Build scalable machine learning models and own the machine learning lifecycle end-to-end from data exploration to model deployment and monitoring.
4. Collaborate with data scientists and engineers to deploy domain-specific machine learning services and applications in production environments.
5. Contribute to the development and maintenance of domain-specific knowledge resources whilst promoting a culture of self-serve data-aware resources.
6. Stay current with the latest research and technology, while sharing and communicating relevant knowledge with the rest of the organization.

What you will need:

1. 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).
2. Proficiency in Python and experience with data preprocessing, feature engineering, and model evaluation techniques specific to NLP tasks.
3. 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.
4. Experience in large scale and low latency solution design experience, modern methodologies and operating models, and familiarity with current MLOps best practices.
5. Excellent communication skills and the ability to work effectively with cross-functional teams.

Nice to have:

1. 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.
2. Experience in integrating these systems into NLP pipelines and leveraging graph-based structures for enhanced data insights is a plus.
3. Hands-on experience working with vector databases (e.g., Weaviate, Milvus, ChromaDB etc).
4. Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable model deployment and version control systems (e.g., Git).
5. 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.

What you will gain at Intapp:

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:

1. Competitive base salary plus variable compensation and equity.
2. Generous paid parental leave, including adoptive leave.
3. Traditional comprehensive benefits, plus:
4. Generous Paid Time Off.
5. Tuition reimbursement plan.
6. Family Formation benefit offered by Carrot.
7. Wellness programs and benefits provided by Modern Health.
8. Paid volunteer time off and donation matching for the causes you care about.
9. Opportunities for personal growth and professional development supported by a community of talented professionals.
10. An open, collaborative environment where your background and contributions are valued.
11. Experience at a growing public company where you can make an impact and achieve your goals.
12. Open offices and kitchens stocked with beverages and snacks.

Company:

Intapp

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Big Data, Germany, Industry, Information Extraction, Language Modeling, NLP