Senior ML Engineer - Fraud Detection & MLOps
targetMinneapolis (MN)
About the role
A leading retail company in Minneapolis is seeking a Senior Engineer to develop and deploy machine learning solutions for fraud detection. This role involves designing scalable ML models, conducting exploratory data analyses, and collaborating with cross-functional teams. Candidates should have a strong background in data science and MLOps, along with an advanced degree in a relevant field. The position offers a hybrid work arrangement, balancing onsite and remote work depending on team needs.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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