Machine Learning Engineer

📣 إعلان

منذ يوم واحد

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About ******

****** is seeking a Machine Learning Engineer to join their team in Riyadh, Riyadh Province. This is a full-time position focused on developing and deploying machine learning solutions.

Role Overview

The Machine Learning Engineer will be responsible for translating machine learning concepts into production-ready applications. This role involves a blend of data science, data analysis, and business intelligence, including the creation of dashboards and reports for decision-makers.

Key Responsibilities

Qualify and prioritize machine learning use cases in collaboration with clients.
Build, deploy, and monitor machine learning models in a production environment.
Conduct statistical analysis for each use case and communicate results to non-technical audiences.
Design and develop dashboards and automated reports in both Arabic and English.
Ensure models are trained exclusively on masked or de-identified data to maintain privacy.
Document the features and data utilized during model development.
Maintain the performance and health of models and dashboards through retraining, drift monitoring, scheduled refreshes, and optimization.
Contribute to the monthly progress report detailing AI and dashboard development work.

Required Qualifications and Skills

Proficiency in the Python ML stack, including pandas, scikit-learn, and one of PyTorch, TensorFlow, or XGBoost, with demonstrated experience deploying models to production.
Experience with forecasting, segmentation, recommendation systems, and Natural Language Processing (NLP) use cases.
Expertise in MLOps practices, including reproducible training, deployment, monitoring, and retraining of models.
Strong skills in statistical analysis and experimental design.
Proficiency in Qlik Sense, encompassing load scripts, associative data models, set analysis, section access, and report automation.
Proficiency in Power BI, including data modeling, DAX, Power Query, row-level security, and scheduled data refresh.
Experience with Python reporting and visualization libraries such as Plotly or Dash, and Streamlit or similar tools.
Ability to design bilingual dashboards that support right-to-left layouts.
Adherence to privacy-aware data practices, including data masking and de-identification techniques.