AI Engineer - Remote

YO IT Consulting; Jeddah; On-site; SAR 449,943 - 674,915; Part time

Job summary

YO IT Consulting is seeking an AI Engineer for a remote contract role. You will apply your expertise to train and fine-tune models, design scalable ML pipelines, and collaborate with data scientists and engineers.

The role emphasizes practical domain knowledge, with strong Python/Java programming, AWS, and Kubernetes skills. You will document decisions and contribute to production-grade deployments.

Qualifications

• Experience in designing and deploying ML models for production.
• Strong programming skills in Python or Java; experience in large-scale software projects.
• Hands-on experience with CI/CD workflows and automation tools.

Responsibilities

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

Skills

Machine learning

Programming (Python/Java)

CI/CD practices

Technical communication

Collaborative problem-solving

Tools

AWS

Kubernetes

CI/CD automation tools

Containerization

TensorFlow

PyTorch

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.