Senior ML Engineer - Fraud Detection & MLOps

Target; Minneapolis (MN); Hybrid; USD 100,000 - 130,000; Full time

Job summary

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.

Qualifications

• 5–8 years of hands-on experience in data science, ML engineering, or applied machine learning.
• Proven ability to build, scale, and deploy production ML models.
• Strong experience with MLOps and pipeline automation using cloud platforms.

Responsibilities

• Design, build, and scale ML models for fraud detection.
• Perform exploratory data analysis to identify anomalies.
• Develop and maintain end-to-end MLOps pipelines.

Skills

Machine Learning

Data Science

Python

SQL

MLOps

Education

Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

GCP

Vertex AI

PySpark

BigQuery

Hadoop

Hive

Job description

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.