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Cherre Senior Machine Learning Engineer United States, New York, New York 842204826
19.11.2024
Responsibilities Work within an agile fullstack scrum team to deploy ML models into production Develop new ML-based services that enhance our data capabilities Design and implement scalable and repeatable ML pipelines Collaborate with data engineering to design workflows for ingesting data streams required for ML applications Requirements 2+ years software experience, preferably in an object-oriented language 3+ year experience deploying ML models in a production environment Industry-based experience with big data / distributed computing applications Familiarity with current NLP technologies Languages: Python, SQL Technologies: Airflow, Kubernetes, Docker, GCP stack Nice to Haves Masters degree in Computer Science / Engineering discipline Publications / patents in the field of machine learning Technologies: Apache Spark Starting Goals 30 Day Familiar with the Cherre tech stack Exposure to the Cherre release process Understands company and team goals Assigned a mini-project that they will own 60 Day Familiar with the existing Cherre ML pipeline Able to start contributing PRs Understands the types of data we ingest and common customer use cases 90 Day Contributing to the ML pipeline on a daily basis Mini-project is completed Benefits Competitive Base Salary Equity Range of Healthcare Plans Paid Parental Leave Unlimited Vacation Flexible Work Schedule Compensation: $155,000-220,000/ year
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