Applied AI/ML Senior Associate, Payments

What you'll do

• Research, develop, and transition high-quality machine learning models and services into production environments.
• Design and execute highly scalable and dependable data processing pipelines.
• Develop AI solutions to streamline payment processes, bolster fraud detection, and enrich customer experience.
• Formulate data-driven solutions to address complex business problems within the payments domain.
• Partner with Risk and Compliance teams to ensure model documentation and regulatory adherence.
• Translate model outcomes into business impact metrics for senior management and stakeholders.
• Identify opportunities for AI/ML applications within the payments ecosystem.
• Orchestrate SageMaker training, pipelines, and model registries for production ML.

What we're looking for

• Master’s degree in a quantitative discipline such as Computer Science, Data Science, Mathematics/Statistics, or Operations Research.
• Minimum of 3 years of industry experience.
• Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services.
• 2+ years of hands-on experience with large-scale data processing on AWS EMR and orchestrating SageMaker for production ML.
• Proficiency in Python with hands-on experience in Machine learning and Deep learning frameworks like TensorFlow or PyTorch.
• 1+ years of extensive experience in NLP or LLMs and 3+ years of experience in other machine learning techniques.
• Strong hands-on expertise in neural networks and Transformers, including practical experience with fine-tuning strategies.
• Experience in financial services, cloud computing (Azure, Docker, Kubernetes, Databricks, Snowflake), or Trust & Safety fraud experience (preferred).