NLP Engineer

Location

Bangalore | India

Job description

About Us

Auquan s AI tools enable hedge funds and asset managers to turbocharge their investment workflows with datadriven insights.

Our Portfolio Activity Monitor helps funds deal with information overload as they struggle to find insights in 38 million terabytes of unstructured data that exists today. We use Natural Language Processing and our proprietary Knowledge Graph to help automatically monitor filter and process millions of terabytes of structured and unstructured data like news filings and alternative datasets into a single page view of only the most relevant information so fund managers focus only on what s important and never leave alpha on the table.

We re a deep tech company with a strong focus on practical applications; everything we build is informed by realworld client insights and it s practicality in solving these challenges.

Our Ideal Candidate

Our ideal candidate is someone who

• 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

Job Requirements

We are looking for someone who combines experience in machine learning in the industry with research excellence 35 years. Experience in ML and NLP is essential. We would love to hear from you if you have handson experience with the cuttingedge NLP stack e.g. LLM RAG vector database etc. This is a senior handson role that enables you to make a major impact on the company. In summary:

Experienced in software development with handson knowhow in productionizing ML solutions

• 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)

Day to Day Responsibilities

• 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.

What does Auquan Offer you

Make your mark

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

Be in control

• 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.

Enjoy growing rewards

• 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

Job tags

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