Machine Learning Engineer

vor 1 Monat


Berlin, Berlin, Deutschland Intapp Vollzeit
Join Our Team as a Machine Learning Engineer

At Intapp, we're pioneering AI/ML platforms to drive profound transformations across global industries. 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're powered by a dynamic and innovative team bringing expertise in production-ready solutions and natural language processing solutions at scale.

We're seeking talented individuals who are passionate about technology and have a proven track record in 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.

Key Responsibilities:
  • Design, develop, and maintain AI/ML solutions across 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 while promoting a culture of self-serve data-aware resources.
  • Stay current with the latest research and technology, sharing and communicating relevant knowledge with the rest of the organization.
Requirements:
  • 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.
What 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.


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