Machine Learning Engineer

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

The Machine Learning Engineer we hire will help DataFlow Systems pay down years of technical debt without anyone calling it a rewrite, using Data Wrangling sparingly and well. Reduce it to essentials and you have $82,000 - $123,000, a CO Machine Learning Engineer seat, 3 years asked, and a clear climb ahead.

Key Responsibilities

• Tune Data Wrangling caching so DataFlow Systems survives the Loveland launch spike on the same hardware
• Own the Hypothesis Testing release that Loveland leadership has circled on the calendar
• Chase down the XGBoost integration that silently drops DataFlow Systems events at midnight
• Walk technology stakeholders through Data Wrangling tradeoffs in language DataFlow Systems execs grasp
• Reach into legacy Data Wrangling modules and leave them cleaner than you found them
• Pair with technology analysts so DataFlow Systems's Clustering models match real behavior
• Prototype rough Plotly ideas fast, then decide which earn a place in DataFlow Systems's stack

What You'll Bring

• The diplomacy to align stakeholders who don't agree yet
• Self-direction that survives a quiet Slack channel
• Fluency in Change Management earned the hard way, not just from a tutorial
• Knowledge of CO-specific regulations relevant to technology work
• Strong multitasking ability without sacrificing quality

Three things define DataFlow Systems: a Loveland address, a craft-focused culture, and a near-religious devotion to XGBoost. We give mid-level hires room to fail small so they can later succeed big on technology work.

Salary opens at $82,000 - $123,000 and the perks compound: paid learning, health coverage, mentorship, and a flexible Loveland, CO setup.

Right now the Machine Learning Engineer listing in Loveland, CO is live and looking.