[ref. t34693122] Mid Machine Learning Engineer (Homebased) - Manila
Outsourced. ph is a leading ISO-certified Philippines offshore outsourcing company that provides dedicated remote staff to some of the world's leading international companies. Outsourced is recognized as one of the Best Places to Work and has achieved Great Place to Work Certification.
We are committed to providing a positive and supportive work environment where all staff can thrive. As an Outsourced staff member, you will enjoy a fun and friendly working environment, competitive salaries, opportunities for growth and development, work-life balance, and the chance to share your passion with a team of over 1,000 talented professionals.
The Client
A leading operator of food and beverage outlets in travel locations, managing over 100 units across 11 major Australian airports and one rail station. Their portfolio includes a mix of international brands, local favorites, and bespoke concepts designed to enhance the travel dining experience.
The Role
The Machine Learning Engineer will design, develop, and deploy predictive models and algorithms to optimize business operations, including sales forecasting, labor scheduling, procurement planning, and menu performance. The role requires strong engineering skills to build scalable ML solutions that integrate with business systems.
Key Responsibilities:
- Develop and deploy machine learning models for forecasting and optimization (e.g., sales, labor, procurement)
- Work with data engineers to ensure model integration into production environments
- Collaborate with commercial and operations teams to identify use cases and define success metrics
- Continuously monitor model performance and retrain as needed
- Contribute to the development of AI-driven tools that support decision-making across the business
Ideal Skills:
- Python, Scikit-learn, TensorFlow/PyTorch, cloud platforms (Azure, AWS), MLOps, version control, and a solid understanding of model deployment and automation.
Work Schedule:
- Monday to Friday 7am-4pm PH time
Work Location:
- Homebased; must have stable internet at home - equipment is provided.
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