Machine Learning Consultant

ML Engineer - Algorithmic Product Architecture Location: Chicago, downtown; local candidates are preferred for Hybrid schedule Duration: 6+ months Summary Design and implement algorithmic product architectures to deploy machine learning models across the complete product lifecycle, including data ingestion, ML processing, and results delivery. Serve as both solutions architect and hands-on implementation engineer to guide teams toward best-in-class algorithmic product implementations. Responsibilities: • Design and build the end-to-end architecture that brings machine learning models to life — from data ingestion and processing to real-time and batch delivery. • Collaborate closely with data science, data engineering, and data architecture teams to prototype and productionize algorithmic solutions on AWS, following infrastructure-as-code best practices. • Enriching the Feature Store with clean, high-quality data, optimizing existing ML product workflows, and ensuring all solutions meet data governance and security standards. Requirments • 5+ years implementing software product solutions in cloud environments with focus on algorithmic/machine learning products • Expertise in cloud services (AWS preferred) • Proficiency in Python, SQL, PySpark, Docker • Experience with streaming and batch data architectures at scale • Experience operating in Agile Methodology environments • Experience with DevOps and CI/CD concepts