Data Engineer – Python/AI
Core
Designing, building, and operating end-to-end AI/ML and GenAI solutions embedded into mission-critical enterprise lending platforms to transform core lending and payments processes.
Role type
Senior IC Data Engineer (AI/ML & GenAI)
Builds
Productionized AI-driven capabilities, data pipelines, and ML models for large-scale enterprise lending platforms.
Domain
Financial Services / Commercial Lending / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, AI/ML model building and deployment, GenAI/LLM productionization, MLOps, ML lifecycle management, RESTful APIs, microservices, CI/CD pipelines, containerization (Docker/OpenShift), version control (Git/Bitbucket), test engineering, data pipeline construction, data quality controls.
Preferred skills
RAG and summarization implementation, model governance in regulated environments, reusable AI framework development, cloud/hybrid enterprise AI platforms, observability tools, database and messaging platform integration.
Technologies
Python, MLflow, Openshift, Docker, Git, Bitbucket, Jenkins, pytest, SonarQube, Artifactory, Oracle, MongoDB, Redis
Responsibilities
Integrate, clean, transform, and control data in operational and analytical systems; build data pipelines and complex data sets for data-informed decision making; develop and execute test plans for integration, regression, and performance; work with stakeholders to refine data requirements and deliver solutions; identify and document data engineering requirements for deployment and maintenance.
Seniority
Senior, hands-on IC
