Machine Learning Engineer Data Engineering

As a key member of our team, your responsibilities will entail:

• Research on modern data analytics ML algorithms and solutions like
• Collecting and analyzing customer feedback
• Forecasting active users, income, etc
• Predicting customer churn
• Actively participate in training the models and integrating them as services into the Data Engineering Infrastructure
• Maintain and re-train existing models to ensure highest accuracy in detection
• Be a subject matter expert on ML and corresponding Data Science topics

The most important skill and capabilities for this role are:

• • 2-year experience in Machine Learning and Data Engineering
  • Hands-on experience with Tensorflow, CatBoost, PyTorch or other ML frameworks
  • Deep understanding of ML algorithms and their tradeoffs
  • Advanced proficiency in Python and SQL Will be a plus:
  • Exposure to ML/Big Data platforms like MLFLow, SageMaker, DataBricks
  • Understanding of Lifecycle Management for Machine Learning products
  • Understanding of the AWS ecosystem
  • Experience with CI/CD pipeline setup
  • Prior software engineering experience

What We Offer

• Flexible working hours and generous paid time off
• Gym membership, massage, chiropractor, or other reimbursements (personal training, dance classes, etc.)
• Learning and development reimbursement (including online courses, certifications, conferences, seminars, etc.)
• One day a year to volunteer and serve your community
• Parental leave, including a one-time bonus to support a newborn, adoption, or foster placement
• Paxful's COVID response: remote work, company-wide online events and weekly meal credits