Back
Tier-1 brand, mid-level generalist AI role, and metro location will attract many qualified applicants.
Core ML and MLOps skills transfer widely, but payments risk domain knowledge increases domain specificity.
Minimum 3+ years plus MLOps and ML tooling preferences create moderately strict technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage and support the deployment and continual improvement of AI/machine learning predictive models used for real-time risk insights in payments.
Handle large volumes of data, create efficient automated processes, and standardize ML/AI tools within the Risk and Identity Solutions team.
Collaborate in a hybrid work setup supporting scalable risk management services for banks, merchants, and payment networks.
Bachelor's degree OR 3+ years of relevant work experience required.
Programming knowledge and understanding of file systems, operating systems, distributed computing, SDLC, data structures, and algorithms.
Experience or knowledge in big data systems such as Apache Spark, Hadoop, and Hive.
Work Experience Required: At least 1+ years relevant experience if holding a bachelor's degree; 2+ years if not explicitly stated.
Demonstrates strong technical skills in programming, scripting, and distributed computing environments supporting ML/AI solutions.
Experienced in big data technologies and AWS environments, with knowledge or experience in Gen AI technologies, Airflow, and MLOps tooling like MLFlow, Triton, or Tensor RT.
Comfortable working collaboratively in globally distributed teams and hybrid office settings focusing on scalable predictive model development and deployment.