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data engineering etl sql python machine learning

📋 Description

  • Identify opportunities to apply artificial intelligence and machine learning across products and
  • Design, test, and refine prompts for generative AI and large language model applications.
  • Build, evaluate, deploy, and maintain machine learning models in production environments.
  • Partner with product managers, software engineers, and subject-matter experts to translate business
  • Contribute to scalable machine learning pipelines, data workflows, model deployment processes, and
  • Apply established best practices for ML development, automation, deployment, and ongoing model

🎯 Requirements

  • Master’s or PhD in Mathematics, Statistics, Computer Science, or a related quantitative or
  • For candidates with a Master’s degree, 2+ years of professional machine learning experience; for
  • At least 2 years of experience building, deploying, and maintaining machine learning models in
  • Strong analytical skills and solid knowledge of machine learning methodologies, algorithms, data
  • Hands-on experience with data warehouses, feature engineering, ML pipeline automation, and model
  • Strong understanding of data warehousing and ETL processes.

🎁 Benefits

  • Expected base salary of $85,000–$102,000 annually, depending on geographic market, skills
  • Fully remote work opportunity within the United States.
  • Medical, dental, and vision coverage.
  • Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
  • Life and AD&D insurance.
  • 401(k) plan.
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