Centraprise Corp.
Lead ML Engineer
Cincinnati, Ohio, USA · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,512 more — $122,512 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $122,512 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Cincinnati, OH-KY-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- GOOD TO HAVE Understanding of Data Science models Exposure to Deep Learning frameworks such as TensorFlow or PyTorch Solid understanding of feature engineering, model evaluation, and experimentation.
Responsibilities
- Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
- Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
- Data & Platform Collaboration Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
- Conduct design reviews, code reviews, and establish engineering standards.
- Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
Requirements
- Languages: Python (required)
- Kubernetes, Terraform (optional) Cloud: Azure, logging/monitoring Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
Nice to have
- Define and enforce guardrails for responsible AI: bias checks, explain ability, privacy controls, and auditability.
- Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
- Influence target architecture and technology decisions for the ML platform roadmap.
- Leadership & Mentoring Provide technical leadership and mentorship to ML Engineers and junior team members.
Skills
- Python (required); SQL; optional
- Java/Scala ML/MLOps:
- MLflow (or equivalent), model registry, monitoring, evaluation pipelines
- Data Frames, data modelling fundamentals, feature engineering DevOps:
- Git, CI/CD, Docker;
- Kubernetes, Terraform (optional) Cloud:
- Azure, logging/monitoring Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
- Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
- Establish best practices for model monitoring:
Compensation
- $110k-$140k
This listing is sourced directly from Centraprise Corp.'s careers page and normalized into a canonical job model.