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.
LI-EM1
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