mlops cloud engineer.

job summary:
Must be local to Charlotte NC.

W2 only

You will be responsible for designing and implementing high-volume data pipelines, managing infrastructure as code, and creating robust, scalable CI/CD frameworks for the entire ML lifecycle. This is a DevOps/Platform coding role; deep understanding of data science concepts is required, but model development is not the primary focus.

 
 
location: Charlotte, North Carolina
job type: Contract
salary: $70 - 75 per hour
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Key Responsibilities

· Platform Architecture: Design and maintain the end-to-end cloud platform, leveraging AWS services (SageMaker, Bedrock, EKS, Step Functions, Lambda) for security and scalability.

· Data Pipeline Engineering: Develop and optimize Python-based, high-volume data pipelines to transform and prepare data at scale for model consumption.

· MLOps & Automation: Implement MLOps best practices (MLFlow) for model tracking and deployment. Build and own CI/CD using GitHub Actions and manage platform configuration in JIRA/Agile.

· Infrastructure as Code (IaC): Own all infrastructure provisioning and management using expert-level proficiency in Terraform.

· Consulting: Act as a technical consultant to Data Science teams, building custom tools and solutions to accelerate their path to production.

Required Skills & Qualifications

· ML Expertise: Advanced understanding of the AI/ML lifecycle, concepts, and deployment patterns.

· Cloud & IaC: Expert in AWS platform services and Terraform.

· Programming & Tooling: Strong Python platform coding, experience with MLFlow, GitHub, and GitHub Actions.

· Process: Familiarity with software development best practices and Agile methodologies.

· Preferred: Prior experience in a Solutions Architect (SA) capacity.

 
qualifications:
We are seeking an Advanced MLOps Engineer to architect and scale our machine learning platform on AWS. This is a DevOps/Platform coding role focused on enabling data scientists. The successful candidate will combine an advanced understanding of the ML lifecycle with a consultant mindset to build reliable, high-volume data pipelines and robust infrastructure using IaC.


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.