YO IT Consulting logo

AI Engineer - Remote

YO IT Consulting
Department:Design
Type:REMOTE
Region:Phoenix, AZ
Location:Phoenix, AZ
Experience:Entry level
Estimated Salary:$80,000 - $120,000
Skills:
MACHINE LEARNINGPYTHONJAVACI/CDAWSKUBERNETESTENSORFLOWPYTORCH
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Job Description

Posted on: June 29, 2026

Job DescriptionJob Title: AI Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities

  • Design, build, and optimize robust machine learning models for production environments.
  • Implement and automate end-to-end ML pipelines using CI/CD best practices.
  • Leverage AWS services for scalable AI infrastructure and model deployment.
  • Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
  • Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
  • Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
  • Document and communicate findings, solution approaches, and technical decisions with clarity and precision.

Required Skills And Qualifications

  • Proven expertise in machine learning algorithms, model development, and deployment.
  • Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
  • In-depth experience with CI/CD workflows and automation tools.
  • Hands-on expertise with AWS cloud services for ML applications and data pipelines.
  • Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
  • Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
  • Demonstrated ability to scope, structure, and solve complex, real-world data challenges.

Preferred Qualifications

  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience working in high-growth or startup environments.
  • Strong publication record or contributions to open-source AI projects.
Originally posted on LinkedIn

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