AI Engineer - Production Ready ML Solutions

Crowe

Cleveland (OH)

On-site

USD 62,000 - 100,000

Full time

9 days ago

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Job summary

Crowe seeks an AI Engineer to advance features from concept to production, refining AI solutions to be robust, scalable, and aligned with business goals. You will write production‑ready code, participate in code reviews, build testing protocols, and contribute to ethical reviews and risk assessments to ensure responsible AI deployment.

The role emphasizes independence, clear communication with both technical and nontechnical stakeholders, and delivering tangible value in a dynamic professional

Qualifications

  • Expertise in Python programming and experience with version control systems like Git.
  • Strong ability to work independently and execute tasks efficiently in a dynamic environment.
  • Proficiency in navigating project ambiguities and iterative testing processes to refine AI solutions.
  • Excellent communication skills, capable of effectively documenting and presenting technical details to nontechnical stakeholders.

Responsibilities

  • Advance features from Proof of Concept to production readiness.
  • Execute the technical vision for AI solution development and delivery.
  • Refine user stories and acceptance criteria to align with business needs.
  • Write production-ready code and participate in code reviews.
  • Develop and implement testing protocols including smoke and unit tests.
  • Support debugging and issue triage throughout the development cycle.
  • Participate in ethical reviews and risk/security evaluations for responsible AI deployment.

Skills

Python
Git
Independent work
Ambiguities
Communication

Job description

Crowe seeks an AI Engineer to advance features from concept to production, refining AI solutions to be robust, scalable, and aligned with business goals. You will write production‑ready code, participate in code reviews, build testing protocols, and contribute to ethical reviews and risk assessments to ensure responsible AI deployment.

The role emphasizes independence, clear communication with both technical and nontechnical stakeholders, and delivering tangible value in a dynamic professional

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