Machine Learning Engineer / MLOps

We're looking for a Machine Learning Enigneer to join a startup building fraud prevention software. This role can be remote but candidate local to the Chicago office will be preferred so they can easily attend meeting and training opportunities. 

Join a close-knit group that's building a platform that can handle a high volume and complex latency fraud processing platform. In this role you'll be building end-to-end machine learning platforms. The ideal candidate will have experience building APIs, ETL solutions, ML models, and deploying to the cloud. You'll get to work with cutting-edge tech and industry-leading tools to design and build software solutions that are fast, scalable and flexible. Required Skills & Experience

• Master’s degree in Computer Science, Engineering or equivalent experience with 5+ years of experience OR bachelor’s degree in Computer Science or Engineering, or equivalent experience with 7+ years of experience
• 5+ years of experience in software engineering and software architecture background in an enterprise setting
• High volume transactional environment experience
• Strong Relational database skills (SQL, JDBC - Oracle and PostgreSQL preferred)
  • 4+ years software development experience as a Python developer
  • 2+ years experience in Spark and NoSQL databases such as MapR DB, Cassandra etc.

Daily Responsibilities

• Experience in deploying ML models in production and familiarity with MLOps
  Understanding in statistics and Machine Learning concepts such as model selection criteria, parameter tuning, A/B Testing
  Big Data Components/Frameworks such as Hadoop (MapR), Spark etc. and the knowledge to perform ETL and compute in a distributed computing environment

You will receive the following benefits:

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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