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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