Eliassen Group
Eliassen Group

Senior Machine Learning Operations (MLOps) Engineer

Cincinnati, OH, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
On-site
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Job Details

Skills

  • Life Insurance
  • Management
  • Testing
  • Provisioning
  • Data Warehouse
  • Training
  • Data Quality
  • Incident Management
  • Continuous Improvement
  • Regulatory Compliance
  • Documentation
  • Collaboration
  • Mentorship
  • Data Engineering
  • Software Engineering
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Machine Learning Operations (ML Ops)
  • Lifecycle Management
  • Microsoft Azure
  • Vertex
  • Python
  • SQL
  • Java
  • Scala
  • R
  • Snow Flake Schema
  • Databricks
  • IBM DB2
  • Cloud Storage
  • Apache Spark
  • Pandas
  • PySpark
  • DevOps
  • Git
  • Workflow
  • Continuous Integration
  • Continuous Delivery
  • Terraform
  • Linux
  • Shell Scripting
  • Orchestration
  • Docker
  • Kubernetes
  • Streaming
  • Apache Kafka
  • Grafana
  • Real-time
  • Credit Risk
  • Fraud
  • Customer Analysis
  • Amazon SageMaker
  • Machine Learning (ML)
  • Cloud Computing
  • Screening
  • Artificial Intelligence
  • Recruiting
  • Taxes
  • Insurance
  • Law
  • Communication
  • Gmail
  • Routing
  • Management Consulting
  • Life Sciences
  • SAP BASIS
  • Military

Summary

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 Google Cloud Platform.
  • 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.


Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

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 .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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.
  • Dice Id: cxelisen
  • Position Id: a1WUQ000001yWHN2A2
  • Posted 3 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

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.

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