Loveland ML Engineer: Data-Driven XGBoost & Impact

DataFlow Systems; Loveland (CO); On-site; USD 82,000 - 123,000; Full time

Benefits offered by this job

Paid learning

Health coverage

Mentorship

Flexible Loveland setup

Job summary

DataFlow Systems seeks a mid-level Machine Learning Engineer in Loveland, CO to reduce technical debt while preserving essential data wrangling practices. The role emphasizes production-grade XGBoost, Plotly experiments, and collaboration with stakeholders on a data-driven path.

You will own release milestones, tune data pipelines, and mentor through hands-on leadership. A strong focus on Colorado regulations and quality delivery is expected.

Qualifications

• Experience coordinating with diverse stakeholders and driving consensus.
• Demonstrated self-direction in complex projects and silenced Slack channel noise.
• Strong change-management experience in technology deployments, not just tutorials.
• Knowledge of Colorado-specific regulations affecting technology work.
• Ability to multitask while preserving quality and deadlines.

Responsibilities

• Tune Data Wrangling caching to support Loveland launch spike on the same hardware.
• Own the Hypothesis Testing release scheduled by Loveland leadership.
• Integrate XGBoost to prevent events from dropping at midnight.
• Explain Data Wrangling tradeoffs to DataFlow Systems executives.
• Refactor legacy Data Wrangling modules to cleaner code.
• Collaborate with analysts so clustering models reflect real behavior.
• Prototype Plotly ideas quickly and select those to keep in the stack.

Skills

Stakeholder management

Self-management

Change management

Colorado regulations knowledge

Multitasking

Tools

XGBoost

Plotly

Data Wrangling

Job description

DataFlow Systems seeks a mid-level Machine Learning Engineer in Loveland, CO to reduce technical debt while preserving essential data wrangling practices. The role emphasizes production-grade XGBoost, Plotly experiments, and collaboration with stakeholders on a data-driven path.

You will own release milestones, tune data pipelines, and mentor through hands-on leadership. A strong focus on Colorado regulations and quality delivery is expected.