AI/ML Engineer – Industrial Analytics | Confidential Employer | Riyadh, Saudi Arabia

Tech Junction Ltd; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Job summary

Tech Junction Ltd in Riyadh now seeks an experienced AI/ML Engineer specializing in Industrial Analytics. You will design, develop, deploy, and operationalize AI/ML solutions driving predictive analytics, process optimization, and intelligent decision‑making across refinery and Oil & Gas operations.

The role requires 8+ years in AI/ML, deep learning, NLP, LLMs, and MLOps, with strong Python and cloud experience (Azure/AWS).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related discipline.
• Minimum 8 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics.
• Strong expertise in Machine Learning algorithms and model development.
• Experience developing Deep Learning solutions.
• Advanced Python programming skills.
• Strong understanding of data science and analytics methodologies.
• Experience with Natural Language Processing (NLP).
• Hands‑on experience with Large Language Models (LLMs).
• Experience implementing Retrieval‑Augmented Generation (RAG) architectures.
• Expertise in Time‑Series Analytics and forecasting.
• Experience utilizing Azure AI and Machine Learning services.
• Experience with AWS AI/ML and analytics platforms.
• Strong MLOps knowledge and practical implementation experience.
• Experience developing and deploying production‑grade AI solutions.
• Knowledge of optimization algorithms and mathematical modeling techniques.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Design, develop, and deploy Machine Learning and Deep Learning models for industrial use cases.
• Build predictive analytics solutions utilizing industrial and operational datasets.
• Develop and optimize time-series forecasting and anomaly detection models.
• Implement AI and data science solutions supporting refinery and industrial operations.
• Design and deploy NLP, Large Language Model (LLM), and Retrieval‑Augmented Generation (RAG) applications.
• Create feature engineering, model training, and model evaluation pipelines.
• Develop MLOps workflows for model deployment, monitoring, and lifecycle management.
• Work with Azure and AWS cloud‑based AI and Machine Learning services.
• Develop optimization algorithms to improve operational and business outcomes.
• Support predictive maintenance, process optimization, and asset performance initiatives.
• Collaborate with data engineering teams to build scalable AI‑ready data pipelines.
• Analyze large‑scale industrial and operational datasets.
• Perform model tuning, validation, and performance optimization.
• Ensure AI solutions meet governance, security, and reliability requirements.
• Document models, workflows, and technical implementation standards.
• Participate in Industrial AI innovation and digital transformation initiatives.

Skills

Python

Machine Learning

Deep Learning

Time‑Series Analytics

NLP

LLMs

MLOps

Cloud platforms

Education

Bachelor’s or Master’s degree in CS/AI/Data Science/Engineering

Tools

Azure AI/ML

AWS

GCP

Job description

Position Summary

An exciting opportunity is available for an experienced AI/ML Engineer specializing in Industrial Analytics to join a major Industrial AI transformation initiative in Riyadh, Saudi Arabia. The successful candidate will design, develop, deploy, and operationalize advanced Artificial Intelligence, Machine Learning, and Deep Learning solutions that enable predictive analytics, process optimization, industrial automation, and intelligent decision‑making across refinery and Oil & Gas operations.This role is ideal for AI professionals with strong expertise in machine learning, industrial data analytics, MLOps, cloud AI platforms, and Generative AI technologies seeking to make a significant impact in large‑scale industrial environments.

Detailed Job Description

As an AI/ML Engineer, you will work alongside data scientists, AI architects, process engineers, OT/IT specialists, and business stakeholders to build and maintain enterprise AI solutions that leverage industrial datasets, time-series analytics, predictive modeling, NLP, and Generative AI. You will be responsible for the complete AI lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring, and optimization. Additionally, you will support Industrial AI applications focused on equipment health monitoring, predictive maintenance, anomaly detection, yield optimization, process intelligence, and operational efficiency. This position offers the opportunity to work with cutting‑edge AI technologies, cloud‑native machine learning platforms, MLOps pipelines, LLMs, and industrial analytics solutions within one of the fastest‑growing AI transformation sectors.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Deep Learning models for industrial use cases.
• Build predictive analytics solutions utilizing industrial and operational datasets.
• Develop and optimize time-series forecasting and anomaly detection models.
• Implement AI and data science solutions supporting refinery and industrial operations.
• Design and deploy NLP, Large Language Model (LLM), and Retrieval‑Augmented Generation (RAG) applications.
• Create feature engineering, model training, and model evaluation pipelines.
• Develop MLOps workflows for model deployment, monitoring, and lifecycle management.
• Work with Azure and AWS cloud‑based AI and Machine Learning services.
• Develop optimization algorithms to improve operational and business outcomes.
• Support predictive maintenance, process optimization, and asset performance initiatives.
• Collaborate with data engineering teams to build scalable AI‑ready data pipelines.
• Analyze large‑scale industrial and operational datasets.
• Perform model tuning, validation, and performance optimization.
• Ensure AI solutions meet governance, security, and reliability requirements.
• Document models, workflows, and technical implementation standards.
• Participate in Industrial AI innovation and digital transformation initiatives.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related discipline.
• Minimum 8 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics.
• Strong expertise in Machine Learning algorithms and model development.
• Experience developing Deep Learning solutions.
• Advanced Python programming skills.
• Strong understanding of data science and analytics methodologies.
• Experience with Natural Language Processing (NLP).
• Hands‑on experience with Large Language Models (LLMs).
• Experience implementing Retrieval‑Augmented Generation (RAG) architectures.
• Expertise in Time‑Series Analytics and forecasting.
• Experience utilizing Azure AI and Machine Learning services.
• Experience with AWS AI/ML and analytics platforms.
• Strong MLOps knowledge and practical implementation experience.
• Experience developing and deploying production‑grade AI solutions.
• Knowledge of optimization algorithms and mathematical modeling techniques.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication and stakeholder management abilities.

Nice-to-Have Skills

• Oil & Gas industry experience.
• Refinery and Process Industry experience.
• Computer Vision and image analytics experience.
• Industrial AI and Industry 4.0 project experience.
• Experience with predictive maintenance and asset optimization use cases.
• Exposure to industrial historians and OT/IT integration platforms.
• Knowledge of cloud‑native data engineering and distributed analytics systems.
• AI/ML certifications from Azure, AWS, or leading technology providers.
• Experience with industrial operational data environments.

Why Apply?

• Contribute to large-scale Industrial AI and digital transformation initiatives.
• Work with advanced AI, Deep Learning, NLP, LLM, and RAG technologies.
• Gain exposure to Industrial Analytics, predictive intelligence, and optimization solutions.
• Collaborate with leading AI architects, data scientists, and industry experts.
• Deliver high‑impact AI solutions for refinery and Oil & Gas operations.
• Build expertise in cloud‑native AI platforms, MLOps, and enterprise AI architectures.
• Opportunity to work on innovative projects with measurable business and operational impact.