Machine Learning Engineer

• Department / Project Description

The Data Science & Engineering team partners with multiple technical areas to collaborate, test hypotheses, build proofs of concept, and transform data into actionable insights that accelerate our Digital First Approach.

Our team is passionate about data modeling, forecasting, optimization, and holds a strong vision of how data science and engineering can create value for our customers and the company as a whole.

• Job Description

We are looking for a Machine Learning Engineer to design, develop, and deploy data-driven models that deliver measurable business impact.

The ideal candidate combines strong analytical skills with solid software engineering experience, capable of building end-to-end machine learning solutions — from data extraction to production deployment.

You will collaborate with data scientists and software engineers to ensure robust, scalable, and high-performance ML systems.

Key Responsibilities

• Design, develop, and implement ML models to address diverse business needs.
• Build and optimize data pipelines to manage data ingestion, transformation, and preparation for modeling.
• Collaborate with software engineers to deploy and maintain production-ready ML models.
• Collect and analyze data from multiple sources, identifying key impacted data elements.
• Apply aLDM schema knowledge and perform source-to-target mapping for model inputs and outputs.
• Execute data extraction, validation, and integration processes in Snowflake.
• Use appropriate statistical and analytical methods to solve business challenges.
• Monitor model and data performance; troubleshoot and improve accuracy and efficiency.
• Develop and present data visualizations and dashboards for leadership and partner teams.
• Ensure data integrity, quality, and compliance across all stages of the ML lifecycle.

Required Skills & Qualifications

• Proven experience with Machine Learning processes and production model deployment.
• Proficiency in Python and Java.
• Expertise in Snowflake and data pipeline development.
• Familiarity with the aLDM schema and data mapping concepts.
• Strong SQL and working knowledge of NoSQL systems.
• Solid understanding of data formats, structures, and transformations.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Effective communicator with the ability to translate technical findings into business insights.
• Experience with data visualization and reporting tools.
• Knowledge of R (preferred) for modeling and statistical analysis.

About the Role

This is an exciting opportunity for a professional who loves to work at the intersection of data science, software engineering, and innovation.

You’ll be part of a forward-thinking team that leverages data to drive a Digital First transformation, delivering smarter, faster, and more reliable solutions that create tangible value for the business.