AI Machine Learning Engineer

Franke Group; Philippines; In loco; PHP 600.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

The Franke Group is seeking an AI/ML Engineer to bridge the in-house ERP system with modern AI capabilities. You will collaborate with software teams to design, build, and maintain intelligent solutions that enhance business operations through automation and data-driven insights.

Responsibilities include designing and deploying ML models, ETL pipelines, and APIs, with a focus on NLP, demand forecasting, and LLM-based use cases.

Competenze

• 1-5 years of experience, including at least 1 year in AI/ML or software development.
• Strong foundation in mathematics for machine learning and deep learning.
• Experience developing and fine-tuning ML models using industry-standard frameworks or cloud platforms.
• Software development experience with basic front-end exposure.

Mansioni

• Design, develop, deploy, and maintain AI/ML models and applications in collaboration with internal teams and external vendors
• Build and continuously improve machine learning solutions, including demand forecasting, NLP systems, and LLM-based use cases
• Perform data exploration, data mining, and develop automated ETL pipelines from ERP and related data sources
• Translate business requirements into scalable, AI-enabled technical solutions
• Conduct applied research on emerging AI/ML technologies and recommend practical implementations
• Develop APIs and lightweight front-end interfaces to share insights with business users
• Support multiple business initiatives and perform other duties as assigned

Conoscenze

AI/ML fundamentals

Data exploration

Front-end exposure

Formazione

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Strumenti

ML frameworks

Cloud platforms

APIs

Descrizione del lavoro

Job Description:

About Franke

We, the Franke company with its three divisions, are a world's leading supplier of products and services for domestic kitchens, the professional foodservice systems and the convenience store sector as well as for professional coffee making. With around 60 companies, we are at home on five continents. Over 8,000 employees constantly take on new perspectives to identify opportunities and turn them into inspiring, innovative solutions for tomorrow’s demands.

The Franke Foodservice Systems division is a world-leading supplier of kitchen facilities, equipment and supplies solutions. As a full system manufacturer, distributor and program management partner, we supply global chains in the quick-service restaurant, convenience store and supermarket segments, helping to manage unit growth and upgrade their facilities.

About The Job

We are looking for an Artificial Intelligence / Machine Learning (AI/ML) Engineer to help bridge our in-house ERP system with modern AI and machine learning capabilities. In this role, you’ll work closely with our software development team to design, build, and maintain intelligent solutions that enhance business operations through automation and data-driven insights.

Your tasks

• Design, develop, deploy, and maintain AI/ML models and applications in collaboration with internal teams and external vendors
• Build and continuously improve machine learning solutions, including demand forecasting, NLP systems, and LLM-based use cases
• Perform data exploration, data mining, and develop automated ETL pipelines from ERP and related data sources
• Translate business requirements into scalable, AI-enabled technical solutions
• Conduct applied research on emerging AI/ML technologies and recommend practical implementations
• Develop APIs and lightweight front-end interfaces to share insights with business users
• Support multiple business initiatives and perform other duties as assigned

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 1-5 years of experience, including at least 1 year in AI/ML or software development
• Strong foundation in mathematics for machine learning and deep learning
• Experience developing and fine-tuning ML models using industry-standard frameworks or cloud platforms
• Software development experience with basic front-end exposure
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