AI / Machine Learning Engineer — United States

Kiarahub; Northern (KY); Hybrid; USD 110,000 - 200,000; Full time

Benefits offered by this job

To be confirmed by the hiring employer

Job summary

Kiarahub is seeking an AI / Machine Learning Engineer to prototype and productionize machine-learning systems with measurable evaluation. This hybrid, United States-based role offers a salary band of USD 110,000–200,000 per year.

You will collaborate with cross-functional teams, deliver work to quality, security and accessibility standards, and document decisions. The role ranges from entry-level to experienced, depending on the assignment.

Qualifications

• Relevant skills or equivalent practical experience.
• Strong problem-solving and teamwork.
• Portfolio or examples of relevant work where applicable.

Responsibilities

• Deliver role-specific work to quality standards.
• Collaborate with cross-functional teams.
• Document work and communicate progress.

Skills

Python

ML frameworks

data pipelines

model evaluation

Education

Relevant degree, diploma, certification

Job description

# AI / Machine Learning Engineer — United StatesKiarahub Careers Talent NetworkUnited States Hybrid Full Time Entry-level to experienced; role-dependentUSD 110,000 – 200,000 per yearApply for this job →## Job description**Role overview**Prototype and productionize machine-learning systems with measurable evaluation.**Responsibilities*** Deliver work to agreed quality, security and accessibility standards.* Collaborate with cross-functional teams and document decisions.* Communicate progress, risks and measurable outcomes.**Requirements*** Relevant skills or equivalent practical experience.* Strong problem-solving, communication and teamwork.* Portfolio, projects or experience relevant to the role.**Important:** This is a starter listing in the Kiarahub Careers talent network. Confirm that the vacancy, employer, compensation and eligibility are current before relying on them. Salary bands are indicative market estimates, not a promise of employment.## Key responsibilities* Deliver role-specific work to quality standards* Collaborate with cross-functional teams* Document work and communicate progress## Requirements* Relevant skills or equivalent practical experience* Strong communication and problem-solving* Portfolio or examples of relevant work where applicable## Required skills* Python* ML frameworks* data pipelines* model evaluation## Education & qualificationsRelevant degree, diploma, certification or equivalent practical experience## Benefits* To be confirmed by the hiring employer**Application deadline:** December 11, 2026