Overview
On Site
$60 - $65
Contract - W2
Contract - 3 Month(s)
No Travel Required
Skills
kubernetes
data engineering
machine learning
ai
open source models
mlflow
metaflow
python
sagemaker
Job Details
Our national banking client is seeking a Lead ML Data Engineer to join their team!
3-month contract to hire
Columbus, OH - 4 days onsite, 1 day remote
Must be authorized to work in the US w/o sponsorship
Responsibilities
- Build and maintain secure, scalable infrastructure for ML model training, testing, and deployment using open-source tools.
- Create reusable deployment templates that standardize the path to production across teams.
- Translate prototype models into resilient, monitored, and observable production systems.
- Implement guardrails and controls that ensure compliance with internal standards (e.g., SR 11-7, ISO 42001).
- Partner with data scientists to simplify onboarding to platform capabilities.
- Establish CI/CD pipelines with hooks for testing, scanning, and validation of model code and artifacts.
- Serve as a technical lead for cross-functional delivery efforts involving model onboarding and platform integration.
Required Qualifications
- 6+ years of experience in software, data, or ML engineering roles.
- Strong hands-on experience with tools like MLflow, Metaflow, Airflow, or similar orchestration frameworks.
- Production experience with Kubernetes, Docker, and Helm.
- Deep understanding of Python and software engineering best practices.
- Experience implementing CI/CD pipelines and infrastructure-as-code in a cloud or hybrid environment.
Preferred Qualifications
- Experience working in regulated industries or environments with strong risk and compliance expectations.
- Familiarity with open-source model monitoring, drift detection, or lineage tools (e.g., Evidently AI, Feast, LakeFS).
- Hands-on experience serving models using KServe, Ray Serve, or Triton Inference Server.
- Familiarity with enterprise security tools like Trivy, Aqua, or Snyk for code and container scanning.
- Exposure to LLM/RAG architecture or GenAI platform integration.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.