AI-Powered Data Engineer | Python & ML Ops

National Black MBA Association; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Bank of America in the United States is seeking an experienced data/AI engineer to develop and deliver data solutions that support technology and business goals. You will design data pipelines, transform data, and collaborate with Product and Software Engineering teams to implement requirements for operational and analytical systems.

Join Global Commercial Lending to build ML and GenAI solutions with a strong emphasis on MLOps, security, governance, and production readiness.

Qualifications

• Degree in a related field or equivalent experience.
• 6+ years in software engineering with Python.
• 3+ years AI/ML experience building and deploying models.
• Experience productionizing ML models with MLflow.
• Strong understanding of end-to-end ML lifecycle.

Responsibilities

• Design, build, and operate AI/ML solutions end-to-end.
• Develop data pipelines to transform and control data.
• Collaborate with product and engineering teams to deploy data requirements.
• Develop and deploy RESTful APIs and microservices.
• Lead data quality, security, and governance practices.

Skills

Python

AI/ML development

MLflow

CI/CD

RESTful APIs

Docker/Kubernetes

Education

Bachelor's degree or related field

Tools

Openshift

Git

Jenkins

pytest

SonarQube

Artifactory

Job description

Bank of America in the United States is seeking an experienced data/AI engineer to develop and deliver data solutions that support technology and business goals. You will design data pipelines, transform data, and collaborate with Product and Software Engineering teams to implement requirements for operational and analytical systems.

Join Global Commercial Lending to build ML and GenAI solutions with a strong emphasis on MLOps, security, governance, and production readiness.