Reinforcement Learning AI Engineer (Part-Time)

Filrsafekeep

High Point (NC)

On-site

USD 78,000 - 106,000

Part time

14 days+

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Benefits offered by this job

Mentorship
Flexible schedule
Benefits

Job summary

Walgreens in High Point, NC is seeking an AI Engineer with a Reinforcement Learning mindset to build scalable data platforms. The role emphasizes delivering in a part-time structure while collaborating across teams, and shaping clear acceptance criteria for clustering tasks.

You will scale pipelines, tune Plotly/Matplotlib workflows, and help reduce on-call noise by turning alerts into meaningful signals. A hands-on, results-driven mindset is essential.

Qualifications

  • Adaptability to evolving business needs.
  • Clear written communication.
  • Proven ability to deliver in part-time structures.
  • Strong debugging and troubleshooting under pressure.
  • Solid background in big data tech like Hadoop.

Responsibilities

  • Collaborate with cross-functional partners to scope and deliver part-time projects.
  • Sketch sequence diagrams clarifying tech flows for stakeholders.
  • Scale data pipelines handling millions of events using Plotly.
  • Turn on-call noise into meaningful alerts for Walgreens systems.
  • Translate vague tickets into crisp clustering acceptance criteria.
  • Stress-test Matplotlib systems and harden weaknesses.
  • Withdraw Walgreens Facilitation stack from NC region before migration deadline.

Skills

Adaptability
Written communication
Delivery in part-time structure
Grit under pressure
Problem solving
Debugging

Tools

Hadoop
Jupyter
Plotly
Matplotlib

Job description

Walgreens in High Point, NC is seeking an AI Engineer with a Reinforcement Learning mindset to build scalable data platforms. The role emphasizes delivering in a part-time structure while collaborating across teams, and shaping clear acceptance criteria for clustering tasks.

You will scale pipelines, tune Plotly/Matplotlib workflows, and help reduce on-call noise by turning alerts into meaningful signals. A hands-on, results-driven mindset is essential.

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