Lead Applied Scientist
Thomson Reuters · bengaluru, India
machine learningneuro-symbolic ainlpmulti-modal modelingai evaluationsoftware engineeringmlopsknowledge representationexperienced
Job Description
Thomson Reuters is seeking a Lead Applied Scientist to design and deploy neuro-symbolic AI systems that integrate neural learning with structured knowledge representation. The role involves building multi-modal models, developing adaptive reasoning capabilities, and leading end-to-end research deliverables. Candidates should have strong software engineering skills and a proven track record in AI applications.
Qualifications
PhD in Computer Science, Machine Learning, AI, or related field (or Master's with equivalent depth of experience). 7+ years building production IR/NLP systems for commercial applications.
Skills Required
- machine learning
- neuro-symbolic ai
- nlp
- multi-modal modeling
- ai evaluation
- software engineering
- mlops
- knowledge representation
Location
City: bengaluru · Country: India