Senior Machine Learning Operations (MLOps) Engineer
Cincinnati, OH
Category: Engineer
Industry: Financial Services
Standard Hours: Open
Reference ID: JN -102026-109144
Date Posted: 10/20/2026
Shortcut: http://careers.eliassen.com/Vve8oT
Description:
On-site in Cincinnati, OH
Our client seeks a Senior Machine Learning Operations (MLOps) Engineer to design, build, and optimize scalable platforms and production ML systems across the end-to-end lifecycle. You will enable feature engineering, model development, automated deployment, monitoring, governance, and continuous improvement in cloud environments while partnering with data scientists, data engineers, software engineers, and business stakeholders. Experience in regulated industries is desirable.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $75.00 to $85.00/hr. w2
Responsibilities:
- Design, develop, deploy, and manage production-grade machine learning solutions.
- Build scalable and reusable ML platforms for development, training, validation, deployment, and monitoring.
- Implement best practices for model versioning, experimentation tracking, governance, and reproducibility.
- Develop frameworks for batch and real-time inference.
- Optimize ML systems for performance, reliability, maintainability, and cost.
- Design and maintain automated CI/CD/CT pipelines for ML workflows.
- Automate model testing, validation, deployment, rollback, and retraining.
- Establish infrastructure-as-code and automated environment provisioning.
- Build operational tooling for model lifecycle management across environments.
- Design and support enterprise feature stores to improve reuse and governance.
- Integrate ML solutions with data warehouses, data lakes, and operational sources.
- Develop scalable data pipelines for training and inference.
- Optimize data availability, quality, lineage, and observability.
- Implement monitoring for model performance, data quality, and drift.
- Establish alerting, observability, and incident management processes.
- Develop strategies for retraining and continuous improvement.
- Build and support low-latency scoring and prediction platforms.
- Develop event-driven ML architectures using streaming technologies.
- Implement MLOps governance standards and controls with security and compliance alignment.
- Support auditability, explainability, lineage tracking, and documentation.
- Collaborate with cross-functional teams and mentor junior engineers.
- Drive adoption of modern ML engineering methodologies.
Experience Requirements:
- 5+ years in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
- 3+ years building and supporting production ML systems.
- End-to-end ML lifecycle management experience.
- Cloud experience with AWS, Azure, or GCP.
- Experience with batch and real-time ML solutions and large-scale data.
- ML and MLOps: lifecycle management, deployment and orchestration, experiment tracking and versioning, monitoring and observability, feature store and model registry, automated retraining, responsible AI and governance.
- Cloud platforms: AWS SageMaker, Azure ML, or Google Vertex AI.
- Programming: Python and SQL required; Java, Scala, or R preferred.
- Data platforms: Snowflake, Databricks, IBM DB2 or equivalent, data lakes and cloud storage.
- Data transformation: dbt, Spark, Pandas, PySpark.
- DevOps and infrastructure: Git-based workflows, CI/CD tools, Terraform or IaC, Linux, shell scripting.
- Containers and orchestration: Docker, Kubernetes, OpenShift preferred.
- Streaming and real-time: Apache Kafka, event-driven architectures, real-time inference pipelines.
- Monitoring and observability: Prometheus, Grafana, ELK, cloud-native solutions.
- Preferred: enterprise feature stores, model registry and governance frameworks, real-time decisioning platforms, credit risk or fraud or customer analytics or recommender systems, MLFlow or Kubeflow or Airflow or Argo or Feast or SageMaker Pipelines, distributed systems, AI/ML regulatory frameworks, relevant cloud certifications.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact fraud@eliassen.com.
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Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Eliassen Group’s Affirmative Action Plan (AAP) is available for inspection by any employee or applicant for employment upon request, during normal business hours of Monday through Friday, 8:30am to 5:30pm EST. Interested persons should contact Phaedra Wells at pwells@eliassen.com for assistance. It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Applicants with disabilities that believe they require an accommodation or assistance with a position, please email our HR team at hradmin@eliassen.com. This email inbox is designed exclusively to assist job seekers whose disability prevents them from being able to apply online. Emails sent for other purposes will not receive a response.
Please be advised that a number of fraudulent job postings have been released under the Eliassen Group brand.
Unfortunately, fraudulent job postings can happen. If anyone reaches out to you about an open position connected with Eliassen Group, never provide personal or financial information to anyone who is not clearly associated with Eliassen Group
If anyone seemingly from Eliassen Group has ever requested this personal information in the past or does so in the future, please contact fraud@eliassen.com.
Please ensure that you are working directly with us by confirming the following:
- When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
- Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group, as indicated above