Machine Learning Engineer

We are a global enterprise on a mission to transform the customer experience through data-driven decisions and intelligent automation. Our team is building the next generation of algorithmic products that power personalization, operational efficiency, and real-time decision-making at scale — and we're looking for an extraordinary Machine Learning Engineer to help lead that charge.

This is a ground-floor, highly visible role within a collaborative and fast-growing data science organization. You'll work at the intersection of data science, data engineering, and cloud architecture — serving as both solutions architect and hands-on implementation engineer.

• Partner with data scientists to design and build end-to-end ML product architectures spanning real-time streaming and offline batch processing pipelines
• Develop prototype solutions leveraging AWS services with appropriate consideration for scale and latency
• Productionize ML solutions using infrastructure-as-code patterns
• Build and enhance Feature Store pipelines including data ingestion, cleansing, and imputation logic
• Collaborate with data engineering teams to ensure data is delivered in the right format and cadence for maximum model impact
• Partner with data architecture, governance, and security teams to ensure solutions meet enterprise standards
• Stay current with the latest AWS services and ML engineering design patterns

• 5+ years of experience implementing software product solutions in a cloud environment with a focus on ML/algorithmic products
• Expertise in AWS cloud services
• Strong proficiency in Python, SQL, PySpark, and Docker
• Experience with streaming and batch data architectures at scale
• Familiarity with Dev Ops, CI/CD, and Agile methodologies
• Strong communication skills and a collaborative, team-first mindset

Master's degree in Computer Science, Software Engineering, or a related field required.