Machine Learning Engineer / MLOps

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We're looking for a Machine Learning Engineer to join a startup building fraud prevention software. This role can be remote, but candidates local to the Chicago office will be preferred so they can easily attend meetings 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

1. 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
2. 5+ years of experience in software engineering and software architecture background in an enterprise setting
3. High volume transactional environment experience
4. Strong Relational database skills (SQL, JDBC - Oracle and PostgreSQL preferred)
5. 4+ years software development experience as a Python developer
6. 2+ years experience in Spark and NoSQL databases such as MapR DB, Cassandra, etc.

Daily Responsibilities

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

Benefits

1. Medical Insurance
2. Dental Benefits
3. Vision Benefits
4. Paid Time Off (PTO)
5. 401(k)

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

Machine Learning Engineer / MLOps