Location: Chicago, IL
S. As a contract employee of Sterling, you are eligible to receive a Full Em ployee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan. Job Summary: In this role, you will play a pivotal part in designing and implementing algorithmic product architectures throughout the entire lifecycle, spanning data ingestion, ML processing, and results delivery/activation.
Collaboration with diverse teams, including data science, data engineering, and data architecture, is integral to the success of this position. The ideal candidate will serve as both a solutions architect and a hands-on
implementation engineer, guiding the team towards top-notch algorithmic product Job Duties: Collaborate with data scientists to design workflows and architectures that activate ML models, emphasizing real-time streaming use-cases and offline batch optimizations.
Develop prototype solutions for algorithmic products using appropriate AWS services, considering scale and latency implications. Implement and operationalize final solutions using the infrastructure-as-code pattern. Design data processing workflows to enrich our Feature Store with impactful data, incorporating appropriate data cleansing and imputation logic. Enhance existing algorithmic product architecture/workflow to maximize
the impact of these products. Work closely with the data engineering team to ensure data science data needs are delivered in the required format and cadence for maximum impact.
Stay abreast of the latest design patterns and AWS services in the field of Machine Learning Engineering. Collaborate with data architecture, data governance, and security teams to ensure solutions meet required standards. Qualifications: Master’s degree in computer science, software engineering, or related fields is required. 5+ years of experience implementing software product solutions in a cloud environment, with a focus on algorithmic/machine learning products. Expertise in AWS cloud services.
Experience with LLM Proficiency in Python, SQL, Py Spark, and Docker. Qualified applicants will receive consideration for employment without regard to race, color, age, religion, interaction, interactionual orientation, gender identify, national origin, disability, protected veteran status, or genetic information. #In C2For more details: jobs-search. org/architecture-construction_chicago-c429951/job_i1976244395
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