Machine learning systems engineer

Job Description

This global hotel company is looking for a very skilled Machine Learning Engineer on the Systems/Back end/Infrastructure side. This ML Engineer will build software which uses machine learning on a typical back end application. They will build the following: high performance APIs, systems that read and convert data to inputs to ML models, and software systems used to train and evaluate ML. We need someone who has done some of the following: built ML pipelines, services, search systems, recommender systems, fraud detection.

Project examples could be:

• Specific projects the team is working on: feature store database used to store data being use by ML models (if you go to Amazon, they know who you are, they know our profile, our purchases, compare to people in similar geographic regions using an array of data by feeding your amazon login and retrieve data representing your profile). (Feature Store Rebuild)

• To make models useful, you have to train them through big amounts 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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's 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