Posted 1 month ago
AI/ML Solutions Engineer (MLOps)
AI Summary
Design, build, and deploy AI/ML solutions using modern modeling, data pipelines, and MLOps practices, collaborating with stakeholders to productionize AI responsibly in Riyadh.
About this role
AI/ML Solutions Engineer (MLOps)
Kanz 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
- 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
- Python
- Machine Learning
- Deep Learning
- PyTorch or TensorFlow
- SQL and data modeling
- MLOps (Docker, CI/CD)
- Model monitoring and evaluation
- Problem-solving mindset
- Cross-functional collaboration
- Stakeholder communication
Skills
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