Machine Learning Engineer

vor 1 Monat


Berlin, Berlin, Deutschland Intapp Vollzeit
Unlock Your Potential as a Machine Learning Engineer at Intapp

At Intapp, we're pioneering AI/ML platforms that drive profound transformations across global industries. As a Machine Learning Engineer, you'll be part of a dynamic team that leverages the latest technologies in AI, ML, and NLP to solve challenging problems.

What You'll Do:
  • Design, develop, and maintain AI/ML solutions across Intapp's products, applying 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.
What You'll 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.
What You'll Gain at Intapp:

Our culture emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. You'll enjoy a competitive base salary, variable compensation, and equity, as well as generous paid parental leave, comprehensive benefits, and opportunities for personal growth and professional development.



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