Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Machine Learning Engineer

Job

York Solutions, LLC

Saint Paul, MN (In Person)

Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/6/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Machine Learning Engineer at York Solutions, LLC Machine Learning Engineer at York Solutions, LLC in Saint Paul, Minnesota Posted in about 19 hours ago.
Type:
full-time
Job Description:
This is a highly interactive, customer-facing role requiring strong presence, energy, and confidence. Candidates must be comfortable facilitating discussions, breaking silence, and engaging business stakeholders at all levels. Success in this role requires acting as a technical ambassador and advocate , not just an individual contributor. Enterprise AI Mindset Proven experience building AI solutions that scale across an enterprise , not just within a single team or department. Demonstrated ability to design reusable AI capabilities and platforms that enable multiple business units. Experience supporting AI solutions post-launch, including monitoring, CI/CD, enhancements, and operational support. Breadth Across AI Capabilities Experience across multiple AI domains such as: Document processing and intelligent document automation Voice analytics and conversational intelligence Knowledge assistants / chatbots (Bonus) Fraud analytics or advanced predictive modeling Ability to quickly learn and apply new AI techniques as business needs evolve. Self-Directed Learning & Curiosity Strong passion for AI demonstrated through continuous learning outside of formal job responsibilities. Ability to articulate learning sources (e.g., researchers, authors, frameworks, communities, or platforms). Keeps current with emerging AI trends, tools, and best practices in a rapidly evolving field. End-to-End Ownership Experience owning the full AI product lifecycle: Concept ? MVP ? Enterprise rollout ? Ongoing optimization Strong understanding of AI governance, scalability, and operational excellence.