Machine Learning Engineer

About us:

Elsewedy Electric: Powering Progress, Empowering PeoplE

For over 80 years , Elsewedy Electr ic has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire & cable, electrical equipment, engineering & construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.

This job opportunity is offere d by Elsewedy Electric Graduate Development Program The program is designed for Graduates with 0-2 years' of experience. The program offers various job rotations, mentorships, coaching & trainings. 2024 & 2025 Graduates are welcomed to apply

Roles & Responsibilities:

• Collect, clean, and join data from manufacturing systems (e.g., sensors, SCADA, MES) and business systems (e.g., ERP, CRM, finance, HR).
• Build and validate machine learning models for use cases such as quality prediction, demand forecasting, and cost optimization.
• Write complex SQL queries to extract insights across different structured databases (e.g., Oracle, SQL Server).
• Create and maintain interactive dashboards (Power BI, Tableau) to support operational and strategic decisions.
• Collaborate with operations, business units, and IT to understand data needs and processes.
• Document models and workflows and ensure data integrity across sources.

You're a great fit if you have:

• Bachelor’s degree in Computer Science or a related field.
• 0-2 Years' of experience in the same field.
• Fluent Written and Verbal English is a must.
• Proficient in Python (pandas, scikit-learn, matplotlib) and SQL
• Familiarity with BI tools (e.g., Power BI, Tableau)
• Understanding of basic ML concepts (classification, regression, clustering)
• Certifications in data science, ML (e.g., Coursera, Google Data Analytics, Microsoft Azure Data Scientist Associate) is preferrable.