AI/ML Solutions Engineer (MLOps)
Jobs for Humanity
Visa & sponsorship
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Job description
Company Description
Kanz
Job Description
Design, build, and deploy AI/ML solutions that deliver measurable business value, using modern modeling, data pipelines, and MLOps practices, while collaborating with stakeholders to productionize AI responsibly in Riyadh.
Key Performance Indicators:
• Develop and deploy ML models reliably
• Improve model accuracy and performance
• Build scalable data and training pipelines
• Own MLOps monitoring and continuous delivery
• Deliver AI solutions meeting business KPIs
Qualifications:
• 4–5 years AI/ML engineering experience
• Proven experience deploying ML models to production
• Strong background in Python and ML frameworks
• Experience with data pipelines and feature engineering
• Bachelor’s degree in Computer Science or related field
Qualifications
Required Qualifications
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4–5 years AI/ML engineering experience
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Proven experience deploying ML models to production
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Strong background in Python and ML frameworks
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Experience with data pipelines and feature engineering
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Bachelor’s degree in Computer Science or related field
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Python
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Machine Learning
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Deep Learning
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PyTorch or TensorFlow
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SQL and data modeling
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MLOps (Docker, CI/CD)
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Model monitoring and evaluation
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Problem-solving mindset
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Cross-functional collaboration
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Stakeholder communication