VHAVENDAIT SOLUTIONS Paxful, Inc: Staff Machine Learning Engineer (Python), Fraud PreventionAugust 09, 2024 at 06:17PM

Staff Machine Learning Engineer (Python), Fraud Prevention

About the Role:

As a Staff Machine Learning Engineer, you will play a pivotal role in safeguarding our platform from fraudulent activities. You'll work on cutting-edge machine learning models and algorithms to detect and prevent fraud, ensuring the security of our users and the integrity of our platform.

Responsibilities:

• Model Development and Deployment: Develop, train, and deploy sophisticated machine learning models to identify and mitigate fraud risks.
• Feature Engineering: Create and engineer relevant features to enhance model performance and accuracy.
• Data Analysis: Analyze large and complex datasets to uncover patterns and insights that inform model development.
• Experimentation: Conduct A/B testing and other experiments to evaluate the effectiveness of different models and techniques.
• Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to drive innovation and improve fraud prevention strategies.
• Productionization: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
• Monitoring and Optimization: Monitor model performance, identify areas for improvement, and implement optimizations to enhance accuracy and efficiency.

Qualifications:

• Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with data mining techniques, statistical modeling, and machine learning algorithms (e.g., decision trees, random forests, neural networks, etc.)
• Solid understanding of data structures, algorithms, and software design principles
• Experience with cloud platforms (e.g., AWS, GCP, Azure)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• Passion for fraud prevention and a commitment to data-driven decision-making

Bonus Points:

• Experience with fraud detection systems and techniques
• Knowledge of anomaly detection and time series analysis
• Experience with natural language processing (NLP) or computer vision
• Familiarity with MLOps practices and tools

Why Join Us:

• Impactful Work: Directly contribute to the security and integrity of our platform.
• Cutting-Edge Technology: Work with the latest machine learning tools and techniques.
• Collaborative Culture: Join a team of talented and passionate individuals.
• Growth Opportunities: Advance your career and develop your skills.

If you're passionate about machine learning and want to make a real impact, we encourage you to apply.

Interested in Paxful but don't think this role is the best fit for you? View our other positions: https://paxful-crypto.workable.com

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To recruitment agencies and outsourcing entities: Paxful maintains a strict policy of not accepting third-party applications from recruitment agencies or individual recruiters. Furthermore, any collaboration with outsourcing partners remains outside of our strategic planning.

To apply: https://weworkremotely.com/remote-jobs/paxful-inc-staff-machine-learning-engineer-python-fraud-prevention