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[Remote] Machine Learning Engineer

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. UST is a global technology services company that helps clients create transformative, human-centered solutions through innovation and agility. The company is seeking a Machine Learning Engineer I to build Databricks feature engineering pipelines, manage feature stores, deploy rules through Snowflake, monitor model and rule performance, and support CI/CD for data and model deployment.

Responsibilities

  • Feature engineering pipelines in Databricks (provider profiles, peer benchmarks, temporal velocity)
  • Rules validation framework (RuleValidator, schema checks)
  • Databricks feature store management (provider_features, peer_benchmarks tables with Z-ordering)
  • Rule performance monitoring (precision, recall, F1 per rule)
  • Snowflake rules deployment (UDFs, stored procedures)
  • Model monitoring (drift detection via Databricks or custom dashboards)
  • CI/CD for Data pipeline and model deployment (automated testing + promotion from staging to production)
  • Feature store integration with models (Databricks Feature Store model serving)

Skills

  • 3-5 years Databricks + Snowflake production experience
  • Python 3+ years
  • Databricks 1+ years (PySpark, Delta Lake, Unity Catalog)
  • Snowflake 3+ years (SQL expert, UDFs, stored procedures), Feature Store (Databricks Feature Store with Z-ordering for fast lookups)
  • Healthcare claims data (CPT, ICD-10, modifiers) expert
  • YAML rules authoring or validation experience
  • MLflow experiment tracking (model versioning, A/B testing)
  • SQL (Databricks SQL + Snowflake), Git + GitHub
  • Must have built rule engines or feature pipelines
  • Databricks Certified Associate Data and ML Engineer (preferred)

Benefits

  • Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.
  • Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
  • 10 paid holidays.
  • Paid bereavement leave and jury duty.
  • Eligibility to participate in the Company’s 401(k) Retirement Plan with employer matching.
  • Medical, dental, and vision insurance for full-time, regular employees and their dependents residing in the US.
  • Company-paid basic life insurance for full-time, regular employees.
  • Company-paid accidental death and disability insurance for full-time, regular employees.
  • Company-paid short- and long-term disability benefits for full-time, regular employees.
  • Regular employees may purchase additional voluntary short-term disability benefits.
  • Participation in a Health Savings Account (HSA).
  • Participation in a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines.
  • Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
  • Full-time temporary employees are eligible to participate in the Company’s 401(k) program with employer matching.
  • Medical, dental, and vision insurance for full-time temporary employees and their dependents residing in the US.
  • Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
  • Part-time employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
  • Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
  • All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

Company Overview

  • CyberProof is a security services company that intelligently manages your incident detection and response requirements. It is a sub-organization of UST. It was founded in 2017, and is headquartered in Aliso Viejo, California, USA, with a workforce of 501-1000 employees. Its website is https://www.cyberproof.com.