Feature Engineering ML Engineer (Scikit-Learn)

Egreenservices

Florida

On-site

USD 89,000 - 124,000

Part time

14 days+

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Benefits offered by this job

Performance bonuses
Comprehensive insurance
Flexible work location

Job summary

Phillips 66 is hiring a Machine Learning Engineer in Florida focused on feature engineering with Scikit-learn. The role involves configuring infrastructure as code across staging and production and leading incident postmortems to prevent outages in Hialeah, FL.

You will mentor mid-level engineers and build Deep Learning dashboards for the tech team. The position offers a salary range of $89,000 - $124,000 with performance bonuses and comprehensive insurance, and allows flexible work arrangements

Qualifications

  • Experience applying feature engineering with Scikit-learn.
  • Experience configuring infrastructure as code across staging and production.
  • Ability to mentor mid-level engineers during on-call incidents.

Responsibilities

  • Apply Feature Engineering and Scikit-learn to solve heads-down-and-happy engineering challenges
  • Configure and manage infrastructure as code across staging and production
  • Drive the Scikit-learn incident postmortem that stops the Hialeah outage from recurring
  • Mentor the mid-level cohort through their first real Resilience on-call at Phillips 66
  • Watch Persuasion error budgets and pump the brakes before Hialeah, FL burns through them
  • Build Deep Learning dashboards so Phillips 66's technology team stops asking engineers for numbers

Skills

Hands-on problem solving
Able to handle ambiguity
Team mentoring
Ownership mindset

Tools

Scikit-learn

Job description

Phillips 66 is hiring a Machine Learning Engineer in Florida focused on feature engineering with Scikit-learn. The role involves configuring infrastructure as code across staging and production and leading incident postmortems to prevent outages in Hialeah, FL.

You will mentor mid-level engineers and build Deep Learning dashboards for the tech team. The position offers a salary range of $89,000 - $124,000 with performance bonuses and comprehensive insurance, and allows flexible work arrangements

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