AI Engineer

Energy Innovation Corp; Charlottesville (VA); On-site; USD 84,000 - 130,000; Full time

Benefits offered by this job

Benefits and flexibility

Job summary

Grant Thornton is hiring a backend engineer to build scalable statistical modeling features, including Hypothesis Testing, in Charlottesville. You will scale services from a Charlottesville pilot to a Virginia-wide rollout, sketch sequence diagrams, and optimize performance for low latency and efficient resource use.

You will work with Scikit-learn and LightGBM, wrangle MLOps across environments, and help bridge MLOps with modeling tools to ensure smooth, end-to-end data flows.

Qualifications

• 3+ years applying statistical modeling in a technology setting.
• Hands-on proficiency with stress management and stakeholder management.
• Able to teach others and share knowledge effectively.

Responsibilities

• Ship the outcome-focused Statistical Modeling features.
• Scale services from Charlottesville pilot to VA-wide rollout.
• Sketch LightGBM sequence diagrams to clarify data flow.
• Optimize application performance, latency, and resource use at scale.
• Architect fault-tolerant distributed systems leveraging Statistical Modeling and Scikit-learn.
• Wrangle MLOps config across environments so Charlottesville staging mirrors production.
• Bridge MLOps and LightGBM so the platform components communicate.

Skills

Stress management

Stakeholder management

Interpersonal skills

Statistical modeling

Mentoring / teaching

Scikit-learn

LightGBM

MLOps

LangChain

Tools

Scikit-learn

LightGBM

MLOps

LangChain

Job description

Come build the backend that powers our deeply-bought-in products, writing Hypothesis Testing that holds up under serious load. Cut to the chase and you get $84,000 - $130,000, a technology mandate, and Grant Thornton colleagues who treat ownership as the default.

Key Responsibilities

• Ship the outcome-focused Statistical Modeling features that move Grant Thornton's technology roadmap forward
• Scale Grant Thornton's Statistical Modeling services from Charlottesville pilot to VA-wide rollout
• Sketch LightGBM sequence diagrams that make the technology flow obvious to everyone
• Optimize application performance, latency, and resource utilization at scale
• Architect fault-tolerant distributed systems leveraging Statistical Modeling and Scikit-learn
• Wrangle MLOps config across environments so Charlottesville staging mirrors production
• Bridge MLOps and LightGBM so the two halves of Grant Thornton's platform finally talk

What You'll Bring

• Hands-on proficiency with Stress Management, ideally paired with Stakeholder Management
• The judgment to distinguish a fire drill from an actual fire
• Customer-focused outlook with strong interpersonal skills
• 3+ years putting Statistical Modeling to work in a technology setting
• Demonstrated ability to teach what you know to someone greener

What began as two engineers and a whiteboard in Charlottesville is now Grant Thornton, a community-minded team obsessed with getting LangChain right. We pair junior and senior folks on purpose so Scikit-learn knowledge stops hoarding in one head.

Earn a $84,000 - $130,000 base while a mentor accelerates your jump from mid-level to lead, with benefits and flexibility along for the ride.

Demand on the technology team has us moving fast to fill this seat.

Bring your Scikit-learn, your questions, and your ambition; we'll bring the rest at Grant Thornton.