San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection • Architect large ...
San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection • Architect large ...
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and ... Support A/B testing and model performance evaluation in partnership with Data Science
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and ... Support A/B testing and model performance evaluation in partnership with Data Science
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and ... Support A/B testing and model performance evaluation in partnership with Data Science
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and ... Support A/B testing and model performance evaluation in partnership with Data Science
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support A/B testing and model performance evaluation in partnership with Data Science
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support A/B testing and model performance evaluation in partnership with Data Science
Machine Learning Engineer
Villa Park, IL · On-site
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support A/B testing and model performance evaluation in partnership with Data Science
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Machine Learning Engineer
Villa Park, IL · On-site
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support A/B testing and model performance evaluation in partnership with Data Science
Description MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally ... Support A/B testing and model performance evaluation in partnership with Data Science
Description MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally ... Support A/B testing and model performance evaluation in partnership with Data Science
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Contract Machine Learning Testing information
What is the difference between Contract Machine Learning Testing vs Contract Data Analyst?
| Aspect | Contract Machine Learning Testing | Contract Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of ML algorithms, programming skills (Python, R), understanding of testing frameworks | Statistical skills, data visualization, proficiency in SQL and Excel |
| Work Environment | Tech companies, AI startups, consulting firms | Business intelligence teams, marketing agencies, finance firms |
| Employer & Industry Usage | Primarily in AI/ML development projects across tech and research sectors | Data-driven decision making in various industries like finance, marketing, and healthcare |
Contract Machine Learning Testing focuses on evaluating and validating ML models for accuracy and performance, requiring technical skills in algorithms and programming. Contract Data Analysts interpret data, generate reports, and support business decisions using statistical tools. While both roles involve working with data, Machine Learning Testing is more technical and specialized in AI models, whereas Data Analysts focus on broader data analysis and reporting.
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What are popular job titles related to Contract Machine Learning Testing jobs in Illinois? For Contract Machine Learning Testing jobs in Illinois, the most frequently searched job titles are:
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What cities in Illinois are hiring for Contract Machine Learning Testing jobs? Cities in Illinois with the most Contract Machine Learning Testing job openings:
Other
Posted 5 days ago
Job description
Machine Learning Engineer
Location: San Jose, CA/Chicago, IL
Duration: 18 months contract with a possible extension
What You'll Do• Redesign and optimize PayPal's MLOps and decision platform for fraud detection
• Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.
• Collaborate with data scientists and platform engineers to automate workflow
• Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.
• Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.
• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers).
• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
• Team work mostly within Jira board from tasks assignments and tracking.
• Code would be in our centralized GitHub repo.
• Updates/documentation would be either in wiki page or our SharePoint/share drive.
You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
Top Skills:- Big Query, Python, SQL
- Understand the production systems architect and offline data overview
- Machine Learning experience