Machine Learning Engineer, Intapp

• 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
• 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

Desirable

• 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
• 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

• Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings
• Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email