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Auquan

Compare

4.3

based on 18 Reviews

3 Auquan Jobs

Machine Learning Engineer

auquan

4.3

based on 18 Reviews

3-5 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Engineer

Auquan

posted 3mon ago

Job Role Insights

Fixed timing

Key skills for the job

AWS Cloud Computing Research Machine Learning Backend Natural Language Processing

+ 3 more

Job Description

loves math, statistics, and solving challenging problems every day
consistently delivers quality work on time
is relentlessly curious and has the persistence to carry bleeding edge ML models through to production
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 it is about putting all the pieces together
lives in or near Bengaluru, India this is a hybrid role that requires some in-office time for hands-on team collaboration

Requirements

This is a senior hands-on role that enables you to make a major impact on the company, our product, and our customers success.

We are looking for someone who combines a minimum of three to five years of experience in machine learning and research excellence in the industry.

Experience in ML and NLP is essential. We would love to hear from you if you have hands-on experience with a cutting-edge NLP stack, including LLMs, RAG, and vector databases.

Specifically, you have:

software development with hands-on know-how in productionizing ML solutions
Natural Language Processing (NER, Topic Modeling, Sentiment, Summarization, and NLG) using modern Gen-AI-based NLP stack, eg, LLMs and vector databases
TDD, and CI/CD environments
AWS cloud environments (nice to have)
you have an educational degree in a computational field and a strong CS background

Day-to-day responsibilities include:

applying machine learning models to a diverse set of problems including classification, regression, clustering, text analysis
writing production-level extraction pipelines to fit our infrastructures.
building bleeding-edge ML models and carrying them through to model deployment. Whether it s ML Ops, backend engineering, or cloud systems, you're on it

Employment Type: Full Time, Permanent

Read full job description

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