Position Details
About this role
This role involves developing and deploying machine learning models for fraud detection at Target, utilizing advanced data science techniques and cloud platforms.
Key Responsibilities
- Design and build ML models for fraud detection
- Perform exploratory data analysis
- Develop MLOps pipelines on GCP
- Collaborate with cross-functional teams
- Research new detection techniques
Technical Overview
The technical environment includes Python, SQL, TensorFlow, PyTorch, GCP, Vertex AI, Hadoop, Hive, and MLOps tools like MLflow and Airflow, focusing on scalable ML solutions.
Ideal Candidate
The ideal candidate is a senior data scientist or machine learning engineer with extensive experience in building scalable ML models using Python, TensorFlow, and PyTorch. They should have strong knowledge of GCP and MLOps pipelines, with the ability to lead end-to-end ML solutions for fraud detection.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with GCP or Vertex AI, No experience in ML model deployment or MLOps, Insufficient knowledge of Python and SQL
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