Machine Learning Engineer – Snowflake, Sagemaker, SQL

Job Description Our client is looking for a Machine Learning Engineer and an independent thinker with intellectual curiosity in both technical and US business domains. You will work in close collaboration with data science and engineering teams and analyze structured and unstructured data sources to determine the key business questions and hypotheses that can be explored with the data sets. You will also evaluate approaches and algorithms based on available data and research objectives while developing experimental ML Models to solve complex data mining problems. For more than 125 years, our client has helped consumers and clients prosper, and economies and communities flourish. They help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. During your biggest life’s moments whether that be buying a home or car, sending a child to college, or growing a business exponentially, they empower consumers and their clients to manage data with confidence so they can maximize every opportunity by gathering, analyzing and processing data in ways others can’t. They unlock the power of data to create opportunities for consumers, businesses and society. Required Skills & Experience 3+ years of experience SQL PySpark Snowflake AWS Sagemaker The Offer Competitive Salary: Up to $90k/year DOE You will receive the following benefits: Medical Insurance & Health Savings Account (HSA) 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. #LI-SG1

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