Staff ML Scientist - PFI
Core
Building, training, testing, validating, and productizing high-performance machine learning models for payments technology use cases.
Role type
Staff Machine Learning Scientist
Builds
Production ML models for high-performance payments use cases
Domain
Financial services / Payments technology
Deliverable
production ML models
Required skills
Python, exploratory data analysis (EDA), feature engineering, model evaluation, optimization, MLOps, AWS SageMaker, deep learning (TensorFlow/PyTorch/Keras), model explainability (SHAP), ML lifecycle management
Preferred skills
Model serving/inference engines (TensorFlow Serving, Triton), Spark-based data pipelines, big data platforms (Hadoop, EMR, NoSQL)
Technologies
Python, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, AWS SageMaker, AWS S3, EC2, ECR, EKS, Lambda, CloudWatch, TensorFlow, PyTorch, Keras, SHAP, MLflow, TensorFlow Serving, Triton Inference Server, Spark, Hadoop, EMR
Responsibilities
Build and deploy ML models using AWS SageMaker; implement MLOps best practices including versioning and CI/CD; debug and analyze false positive/negative cases; interpret model behavior using explainability frameworks; propose improved solutions for complex problems.
Seniority
Staff, hands-on IC
