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Autonomize AI
2 weeks ago
Location - BANGALORE
Experience - 8+ YEARSAbout Autonomize AIAutonomize, Inc is seeking a highly motivated Senior ML Engineer to join our team on a journey to help healthcare organizations unlock dark data.
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.We are a humble yet hungry group, always learning, always experimenting and always giving our best in everything we do.
The company is still very young, and you will be joining the core engineering team, and it provides you the opportunity to take on more responsibility, break glass and change the world.
About the RoleThis is a hands-on role, where you will build the team and function to Autonomize platform (Data, code, pipelines).
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.
Must-have technical & industry competenciesHands-on coding experience - Strong python skills.Experience in Deep Learning deployments in production environments.
Ability to contribute to multiple client initiatives , feature implementations & delivery.6+ years experience in building NLP systems (preferably for healthcare / life sciences use cases).Strong understanding and experience working with Transformer Models like BERT, CLIP, GPT, T5, etc.
Deep familiarity in building and deploying language models, LLMs,QA., Search systems.Deep familiarity of various deep learning training techniques - few/zero shot learning, transfer learning, federated learning.
Experience using frameworks like Django, Flask etc to package NLP systems as API.Experience developing & deploying ML models to production ( development, evaluation, validation, deployment & integration to enterprise systems).
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 doneYou are naturally curious.
Nice to have competenciesLarge/Complex organization experience in deploying NLP/ML in productionExperience in efficiently scaling ML model training and inferencingExperience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake
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.
Constantly learn from founders, community and customersStartup Perks - Ownership, Autonomy &MasteryStandard Benefits - insurance, commute etc.
Paid vacation, benefits and a commitment to everyone's physical/mental healthYou get to change the way the world, and leave a lasting impact.
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