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Machine Learning Engineer, Applied ML - Austin, TX

Company: Tritek Staffing Inc.
Location: Ayer
Posted on: May 8, 2022

Job Description:

Decide powers the future of advertising on the open web and automates decisions for the real world. Our flagship technology, the Decision Marketplace, delivers results for brands and publishers across our distributed advertising network without the crutch of third-party cookies or behavioral targeting. The Decision Marketplace is an entirely composable ecosystem that enables contributors to rapidly develop machine learning models to make intelligent predictions and more importantly, to render automated decisions. Decide is looking for an experienced ML Engineer to join our Applied ML team. As an ML Engineer, you will work closely with data scientists, analysts, and other engineers to ensure our machine learning models can be used in the real world. This role will report directly to the CTO. What Youll Do Enhance our ETL pipeline Streamline feature encoding, model training, and deployment for a marketplace of ML models Support sub 50ms, high-transaction inferencing, and decision execution Your Skills Should Include At least 2 years experience using Applied Machine Learning techniques Extensive experience with Python Reasonable exposure to JavaScript and Node.js is a plus Prior experience with MLOps is strongly preferred Familiarity with GCP is strongly preferred Familiarity with TensorFlow is strongly preferred Degree in a quantitative field (e.g., computer science, engineering, physics, mathematics, etc.) is often helpful, but not required Located in or around Austin, TX is preferred, but not required Decide values a diverse team. We do not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, age, ability, national origin, veteran status, or any other basis in our employment decisions. We welcome all to apply.by Jobble

Keywords: Tritek Staffing Inc., Nashua , Machine Learning Engineer, Applied ML - Austin, TX, Engineering , Ayer, New Hampshire

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