Remote AI Engineer — ML Pipelines & Cloud Infra

YO IT Consulting; Riyadh; On-site; SAR 150,000 - 210,000; Part time

Job summary

YO IT Consulting seeks an AI Engineer for a remote contract role to design, train, and deploy scalable ML models. You will build robust pipelines, leverage AWS for infrastructure, and orchestrate containers with Kubernetes to ensure high availability.

Strong programming skills and clear technical communication are essential. responsibilities include collaborating with data scientists and engineers to translate business problems into ML solutions, and documenting decisions for cross-functional

Qualifications

• Proven expertise in ML algorithms, model development, and deployment.
• Strong programming skills in Python or Java; experience in large-scale software projects.
• Hands-on CI/CD workflows and automation tools.
• Hands-on AWS cloud services for ML and data pipelines.
• Advanced knowledge of Kubernetes for orchestration.
• Excellent written and verbal communication, clear documentation and collaboration.
• Ability to scope and solve complex real-world data challenges.

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.

Skills

ML algorithms

Python/Java

CI/CD workflows

Data preprocessing

Documentation & communication

Tools

AWS

Kubernetes

Docker

Job description

YO IT Consulting seeks an AI Engineer for a remote contract role to design, train, and deploy scalable ML models. You will build robust pipelines, leverage AWS for infrastructure, and orchestrate containers with Kubernetes to ensure high availability.

Strong programming skills and clear technical communication are essential. responsibilities include collaborating with data scientists and engineers to translate business problems into ML solutions, and documenting decisions for cross-functional