Machine learning engineer Jobs in Berlin

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 :

Design, develop, and maintain AI / ML solutions across a range of Intapp’s products.

Apply knowledge in data processing, refinement, and advanced NLP techniques.

Build scalable machine learning models and own the machine learning lifecycle end-to-end from data exploration to model deployment and monitoring.

Collaborate with data scientists and engineers to deploy domain-specific machine learning services and applications in production environments.

Contribute to the development and maintenance of domain-specific knowledge resources whilst promoting a culture of self-serve data-aware resources.

Stay current with the latest research and technology, while sharing and communicating relevant knowledge with the rest of the organization

What you will need :

A minimum of 3+ years of experience in building end-to-end systems that leverage machine learning and natural language processing technologies.

Strong technical skills with cloud-based AI & big data solutions, as well as familiarity with ML frameworks and tools.

Proficiency in Python, Docker, Kubernetes, Elasticsearch, SQL, NoSQL, and other relevant technologies.

Large scale and low latency solution design, modern methodologies and operating models, and familiarity with current MLOps and DevOps best practices

Excellent communication skills and the ability to work effectively with cross-functional teams.

Nice to have :

Experience working with knowledge graphs (RDF or property graphs) including Protégé, SparQL.

Hands-on experience working with vector databases (e.g., Weaviate, Milvus, etc).

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 :

Competitive base salary plus variable compensation and equity

Generous paid parental leave, including adoptive leave

Traditional comprehensive benefits, plus :

Generous Paid Time Off

Tuition reimbursement plan

Family Formation benefit offered by Carrot

Wellness programs and benefits provided by Modern Health

Paid volunteer time off and donation matching for the causes you care about

Opportunities for personal growth and professional development supported by a community of talented professionals

An open, collaborative environment where your background and contributions are valued

Experience at a growing public company where you can make an impact and achieve your goals

Open offices and kitchens stocked with beverages and snacks