AI Engineer - Remote

YO IT Consulting; San Antonio (TX); On-site; USD 96,432 - 165,312; Part time

Job summary

YO IT Consulting is seeking an AI Engineer for a remote contract position. You will apply your expertise to train next-generation AI systems, design robust ML models for production, and help build scalable data pipelines to support real-world applications.

The role emphasizes hands-on work with Python or Java, AWS, Kubernetes, CI/CD, and collaboration with data scientists and engineers to translate business challenges into practical ML solutions.

Qualifications

• Experience with ML algorithms, model development, and deployment.
• Proficiency in Python or Java for large-scale software projects.
• Experience with CI/CD workflows and automation tools.
• Hands-on experience with AWS for ML and data pipelines.
• Knowledge of Kubernetes for orchestrating ML workloads.
• Strong written and verbal communication skills for technical docs and collaboration.
• Ability to scope, structure, and solve complex, real-world data problems.

Responsibilities

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

Skills

Machine learning

Python

Java

CI/CD

AWS

Kubernetes

Tools

TensorFlow

PyTorch

CI/CD tools

Docker

Job description

Job Title: AI Engineer

Job Type: Contract

Location: Remote

Overview

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.

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.