AI Engineer (Model & Pipeline Deployment)

Latitude; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Alrkeen is seeking an experienced Machine Learning Engineer to design, build, and deploy AI models and data pipelines that address real-world business challenges. You will partner with stakeholders to translate measurable objectives into production‑grade ML solutions, balancing performance, reliability, security, and scalability.

Own the end-to-end delivery of production AI/ML systems—modeling through deployment—improving accuracy and efficiency while ensuring reliable monitoring,

Qualifications

• Proficiency in Python and ML frameworks for building models and pipelines.

Responsibilities

• Design, build, and deploy production ML models and data pipelines.
• Partner with stakeholders to translate objectives into scalable ML solutions.
• Balance performance, reliability, security, and scalability in deployments.

Skills

Python

ML algorithms

Deep learning

Data preprocessing

Model evaluation

Documentation/compliance

Tools

PyTorch

TensorFlow

Docker

CI/CD

AWS

GCP

Azure

Job description

Company Description

Jobs for Humanity is partnering with Alrkeen to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: Alrkeen

Job Description

We are seeking an experienced Machine Learning Engineer to design, build, and deploy AI models and data pipelines that address real-world business challenges. You will partner with stakeholders to translate measurable objectives into production‑grade ML solutions, balancing performance, reliability, security, and scalability.

Job Purpose

Own the end-to-end delivery of production AI/ML systems—modeling through deployment—improving accuracy and efficiency while ensuring reliable monitoring, security/compliance, and measurable impact.

Job Duties and Responsibilities

• Python
• PyTorch or TensorFlow
• Machine learning algorithms
• Deep learning architectures
• Data preprocessing and feature engineering
• Model evaluation (AUC, F1, RMSE)
• MLOps tools (Docker, CI/CD)
• Cloud services (AWS/GCP/Azure)
• APIs for model serving
• SQL and big data tooling
• Deploy and monitor models in production reliably
• Optimize model performance and reduce latency
• Document solutions and ensure compliance
• Build scalable data pipelines for training and inference

Qualifications

Required Qualifications

• Python
• PyTorch or TensorFlow
• Machine learning algorithms
• Deep learning architectures
• Data preprocessing and feature engineering
• Model evaluation (AUC, F1, RMSE)
• MLOps tools (Docker, CI/CD)
• Cloud services (AWS/GCP/Azure)
• APIs for model serving
• SQL and big data tooling
• Experience deploying ML models to production
• Knowledge of reliability and security best practices
• Ability to document and support compliance requirements

Company: Alrkeen