Machine Learning Engineer
Listed on 2026-07-11
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Machine Learning Engineer – White HQ Technologies
Location:
Jeddah, Saudi Arabia
Position Type:
Full-time
Company:
White HQ Technologies
About Us:
White HQ Technologies is a cutting-edge software and AI solutions provider based in Riyadh. We specialize in developing intelligent systems, advanced analytics, and machine learning applications that empower businesses to innovate and scale. Our mission is to harness the power of AI to solve complex challenges and create transformative digital experiences.
We are seeking a talented Machine Learning Engineer to join our growing AI team. This role is central to designing, building, and deploying machine learning models that drive impactful solutions. You will collaborate with data scientists, engineers, and product teams to deliver scalable AI systems that align with business goals.
Key Responsibilities- Design, train, and optimize machine learning models for diverse applications.
- Prepare, clean, and structure datasets for model training and evaluation.
- Implement ML models into production environments with scalability and reliability.
- Track and improve model accuracy, efficiency, and robustness.
- Work closely with product managers and engineers to integrate ML solutions into business workflows.
- Stay updated with the latest ML frameworks, tools, and methodologies.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong proficiency in Python, Tensor Flow, PyTorch, and scikit-learn.
- Solid understanding of data structures, algorithms, and statistics.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- Excellent problem-solving and communication skills.
- Be part of a visionary AI company driving innovation in Riyadh.
- Work on high-impact projects across industries.
- Competitive compensation and benefits package.
- Opportunities for career growth and continuous learning.
Pay:
Up to 29,500.00 per month
Work Location:
In person
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).