Mid-Level ML Engineer — LightGBM, APIs & Airflow

VentureCore; Alamogordo (NM); On-site; USD 65,000 - 91,000; Full time

Benefits offered by this job

Mentor

Benefits suite

Growth opportunities

Job summary

VentureCore in Alamogordo, NM seeks a mid-level Machine Learning Engineer who will deep-dive into LightGBM and Plotly-heavy tasks while translating business needs into solid technical specs. You will own API development and ensure robust LLM test stability, with a focus on reliable rollbacks and rigorous edge-case handling.

The role emphasizes hands-on problem solving, accountability in a contract setting, and the ability to juggle multiple priorities.

Qualifications

• NM work history or strong reasons you'll thrive here anyway.
• Accountability for a boldly-pragmatic outcome in a contract role.
• Ability to manage three priorities that claim to be number one.
• Meticulous attention to detail across every deliverable.
• Strong time-management skills and a bias toward action.
• LightGBM expertise that colleagues rely on.
• Grit to debug at 4pm on a Friday without complaint.

Responsibilities

• Pull VentureCore's LightGBM stack out of the NM region before the migration deadline.
• Translate fast-paced business requirements into technical specifications and tasks.
• Hand off Airflow runbooks so the next on-call at VentureCore sleeps better.
• Resurrect flaky LLM tests until the Alamogordo, NM suite is trustworthy again.
• Develop and maintain RESTful APIs powering core VentureCore products.
• Push LightGBM changes safely behind flags so Alamogordo, NM rollbacks take seconds.
• Own the quality-focused edge cases in VentureCore's Airflow billing nobody else wants to touch.

Skills

Time management

Attention to detail

Problem solving

Accountability

Grit

Tools

LightGBM

Airflow

Plotly

Job description

VentureCore in Alamogordo, NM seeks a mid-level Machine Learning Engineer who will deep-dive into LightGBM and Plotly-heavy tasks while translating business needs into solid technical specs. You will own API development and ensure robust LLM test stability, with a focus on reliable rollbacks and rigorous edge-case handling.

The role emphasizes hands-on problem solving, accountability in a contract setting, and the ability to juggle multiple priorities.