NLP Engineer

• Loves Math Statistics and solving challenging problems.
• Delivers tasks and projects up to satisfaction and on time
• Is curious and persistent to take their idea and see them through to production by building bleedingedge ML models
• Is able to apply ML models to a diverse set of problems (including but not limited to classification regression clustering and text analysis)
• Understands that ML is as much about research notebooks as about putting all the pieces together

• Experienced in Natural Language Processing (NER Topic Modeling Sentiment Summarization and NLG)
• Experience in using modern GenAIbased NLP stack e.g. LLMs and vector databases
• You have an educational degree in a computational field and a strong CS background
• Experience working in TDD and CI/CD environments
• Experience working on AWS cloud environments (nice to have)

• Applying machine learning models to a diverse set of problems including classification regression clustering text analysis
• Writing productionlevel extraction pipelines to fit our infrastructures.
• Building bleedingedge ML models and through to model deployment ML Ops backend engineering cloud systems you re on it.

• Immediately see the impact of your work
• Be part of one of the hottest Fintech startups as recognized by Forbes and TechCrunch

• Freedom to shape the work you do
• Take the opportunity to do work that helps you master a variety of transferable skills or skills that are relevant across roles and industries.

• The regular deal (Competitive pay Stock Options other paid benefits etc. etc.)
• Health Insurance

software development,summarization,topic modeling,aws,tdd,rag,llm models,vector databases,llm,nlp,ner,ci/cd,sentiment analysis,nlg,machine learning,natural language processing