Senior Machine Learning Ops Engineer
Durham, NC
Category: Data
Industry: Financial Services
Reference ID: JN -012026-105120
Date Posted: 01/20/2026
Shortcut: http://careers.eliassen.com/FY3ifN
Description:
Hybrid Every other week onsite/5 days in either Durham, NC, Jersey City, NJ or Westlake, TX
Our client’s enterprise data science platform team builds advanced cloud and software solutions to package, deploy, and scale AI/ML models in production. The team collaborates across business and engineering groups to deliver reliable infrastructure, analytics tooling, and operational capabilities that power model-driven customer experiences in financial services.
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: $65.00 to $80.00/hr. w2
Responsibilities:
- Create frameworks to support ML infrastructure and pipelines, including containerization and deployment of ML models.
- Extend ML platforms to scale model training, deployment, and inference.
- Partner with data scientists to enable model development, training, and operationalization on the foundational platform.
- Operationalize ML models at scale to serve high-volume predictions.
- Design and develop a feature generation and feature store framework to promote reuse across models.
- Build tools to detect data and feature shifts, monitor model uncertainty, and automate prediction explanations for diagnostics.
- Explore and leverage emerging technology trends to simplify the data and ML ecosystem.
- Drive innovation, guide teams to improve development agility and productivity, and resolve technical roadblocks.
- Deliver system automation by establishing CI/CD pipelines.
Experience Requirements:
- Strong object-oriented Python development experience.
- Hands-on AWS experience with services such as SageMaker, Bedrock, S3, CloudFormation, SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch.
- CI/CD expertise with Jenkins and Git, including automated build and deployment pipelines.
- Containerization experience with Docker for building and deploying applications.
- Infrastructure as Code proficiency with AWS CloudFormation and tools such as Terraform or OpenTofu.
- Extensive experience deploying, tuning, monitoring, and measuring machine learning models in production.
- Experience building scalable distributed systems using open-source technologies.
- 5+ years developing Python-based cloud applications and/or ML solutions.
- 1+ years building ML infrastructure and MLOps on AWS SageMaker.
- Experience hosting applications on Kubernetes environments, including EKS.
- Proficiency with Python ML ecosystem tools such as numpy, pandas, scikit-learn, and tensorflow, plus Linux scripting.
- Ability to design software using object-oriented and functional paradigms; basic knowledge of Java and Groovy is a plus.
- Experience with Agile methodologies including Kanban and Scrum.
- SQL database skills (preferred).
- Azure Cognitive Services and Google Vertex AI familiarity (preferred).
Education Requirements:
- Bachelor’s or Master’s degree in a technology-related field such as Computer Science or Engineering.
- AWS certification such as Developer, Solutions Architect, or Machine Learning Specialty
- Kubernetes certification
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.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@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 contactInfoSec@eliassen.com.
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