AI/ML Engineer

Job Description:

· Curate and maintain data repositories from public and internal sources for model development and evaluation.

· Develop data ingestion and transformation scripts

· Experience with construction and design of the entire ML pipeline, including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging)

· Fluency in the Python ML/data science stack(e.g., PyTorch, Scikit-Learn, Pandas)Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructure-as-code (e.g., Terraform or equivalent)

· Proficiency with ETL/data pipelines and data stores

· Facility with web application technologies (e.g., FastAPI, UI development)

 

Bravens is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.