Job Title : ML Engineer –
location : Bangalore, India
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Autonomize, Inc is seeking a highly motivated Senior ML Engineer to join our team on a journey to help healthcare organizations unlock dark data.
Autonomize is on a mission to help organizations make sense of the world’s data. We help healthcare organizations harness the full potential of data to impact human health outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.
We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI.
Website– https://www.autonomize.ai
About the Role
This is a hands-on role, where you will build the team and function to Autonomize platform (Data, code, pipelines). We are looking for the “learn-it-all” type and not the “know-it-all”.
In this role, you will be responsible for the design and implementation of AI/ML solutions, including the integration of backend ML pipelines into full stack applications in collaboration with other ML/NLP/Fullstack team members.
Here is what we are looking for in our teammate:
Must-have technical & industry competencies
Who you are as a person/leader:
Owner mentality – For you, the buck stops at you, You own it, you will learn it, and you will get it done
Nice to have competencies
Some perks of working with us:
*Outsized Bet: We are a young company, funded by early customer traction, and leading VCs, and provides you an opportunity to start at the ground floor. A few years may turn into a plush retirement fund
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.
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