Senior Machine Learning Ops Engineer

Durham, NC, US • Posted 1 day ago • Updated 1 hour ago

Contract W2

On-site

Eliassen Group

Fitment

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Job Details

Skills

Jersey
Data Science
Analytics
Financial Services
SAP BASIS
Life Insurance
Training
Build Tools
Innovation
Productivity
Amazon S3
Amazon SQS
AWS Batch
Step-Functions
Continuous Integration
Continuous Delivery
Jenkins
Git
Docker
Terraform
Open Source
Cloud Computing
Machine Learning Operations (ML Ops)
Amazon SageMaker
Hosting
Python
NumPy
Pandas
scikit-learn
TensorFlow
Linux
Scripting
Design Software
Object-Oriented Programming
Java
Groovy
Agile
Kanban
Scrum
SQL
Database
Microsoft Azure
Vertex
Computer Science
Amazon Web Services
Machine Learning (ML)
Kubernetes
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Management Consulting
Finance
Regulatory Compliance

Summary

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

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 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.
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 .

About Eliassen Group:

Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they 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.

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: a1WUQ000001DtVx2AK
Posted 1 day 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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