AI/ML Engineer - india, India - StartUs Insights

StartUs Insights india, India

3 weeks ago

Technology / Internet

Description

StartUs Insights is data science company providing actionable innovation intelligence to partners globally

Our mission is to make the world's information on innovation, technology, and startups available to our partners and the public.

We operate an AI-powered proprietary DAG stateful-stream-processing information retrieval system, providing us ample data to train and improve our AI/ML systems to convert raw data into knowledge.

IF YOU ARE:

If you are passionate about working on the world's largest startup search engine and using your talent to plan, build, and operate critical information systems that convert raw data into knowledge, then you are at the right place

YOU BRING:

A minimum of three years of relevant experience with machine learning (ML) algorithms, artificial intelligence, deep learning, and/or natural language processing
Experience building production ML and NLP systems
Experience working directly with large language models, GPT, and Transformers in general
Strong python coding skills and experience working with ML frameworks such as TensorFlow
Experience with exploratory Data Analysis and data pre-processing
Passion for innovation and the latest machine learning developments

YOUR MISSION:

Join multiple efforts to create cutting-edge LLM-driven applications to our users.
Design, train and deploy transformer-based solutions for areas such as chatbots, information extraction, search, and recommendation systems
Design tests and evaluate model's performance and accuracy

WHAT YOU GET IN RETURN:

Work with the global innovation and startup intelligence leader
Join an environment where your decisions shape the future of the entire organisation
Work fully remotely with a strong, distributed team that stays connected
Regular visits to our HQ in Vienna (AT) and other company hot-spots
Enjoy 25 paid work-free days per year
Full-time remote position (40 hours /week)
Competitive package and semiannual performance reviews

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