Remote Sr. Machine Learning Systems Engineer

of data. There are dozens of these models and simplify the data to be used by the models. - Search on the website, recommender systems. Create elements of search engines. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to

HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - 5+ years as a Machine Learning Engineer on the ML Infrastructure/ML System side in AWS (back end engineer) - SQL, experience using SQL platforms and writing SQL queries - AWS - Processing data using AWS S3 and Spark or Python Pandas - Know the difference between page data and streaming data processing - Build high performing APIs - Build systems that read and convert data into inputs to ML models - Build software systems used to train and evaluate ML models all within AWS - Ability to give examples around things they have built ML pipelines such as: services, search systems, recommender systems, fraud detection. - Snowflake - Exposure to Applied Science work - Master's in Applied Science