Machine Learning Engineer

Machine Learning Engineer Chicago, IL (Remote in US) 6+ month contract 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. What You'll Do • 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 What You Bring • 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 DevOps, CI/CD, and Agile methodologies • Strong communication skills and a collaborative, team-first mindset Education Master's degree in Computer Science, Software Engineering, or a related field required.