Machine Learning Data Engineer with AWS Sagemaker- only local to Cincinnati, OH

Hi one of our direct clients is hiring for a Machine Learning Data Engineer with AWS Sagemaker located at Cincinnati, OH. Please go through below Job description and reply with suitable resumes.

Machine Learning Data Engineer with AWS Sagemaker
Location: Cincinnati, OH
Experience: 8+ yrs
Skills: Machine Learning, SQL, Python, Snowflake, dbt, AWS SageMaker, Databricks
Duration: 6+ Months

Job Description

• Squad: Customer Recommendation and Insights squad in the Data Insights Tribe
• Required: In office 4 days a week minimum (Monday Wednesday, Friday)
• We re hiring a Data Engineer to join our newly launched Machine Learning Data Enablement team at Fifth Third Bank. This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
• We re looking for an early-career professional who s excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on machine learning related projects or have partnered with data science teams to support model development and deployment and have a strong interest in enabling ML workflows through robust data infrastructure.
• You ll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like SageMaker or Databricks is helpful but not required we re happy to help you learn.
• This is a hands-on role with high visibility and high impact. You ll be joining a team at the ground level, helping to define how data powers machine learning at scale.