Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
IaaS
Supervision
Workflow
Training
Cloud Computing
Access Control
Auditing
Collaboration
Data Science
Computer Science
Amazon EC2
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon SageMaker
Terraform
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Communication
GitHub
DevOps
Scripting
YAML
JSON
Shell
Bash
Python
Management
Computer Networking
Amazon Web Services
SANS
FOCUS
Professional Services
Genetics
Law
Job Details
Title: MLOps/AWS DevOps Engineer
Location: Houston, TX 77002 (ONSITE)
Duration: Long Term Contract
Work Requirements: , Holders or Authorized to Work in the U.S.
We're looking for a skilled MLOps/DevOps Engineer. In this role, you'll be instrumental in developing, maintaining, and scaling our cloud infrastructure on Amazon Web Services (AWS). Your expertise will be key in enabling our machine learning teams to deploy, manage, and monitor their models efficiently, all while building a robust and automated environment under minimal supervision.
Responsibilities include:
- Infrastructure Management: Work with the platform/infrastructure teams to implement, to improve and to automate infrastructure as code (IaC) to ensure consistency and repeatability.
- CI/CD Pipeline Development: Build and maintain robust CI/CD pipelines for both application and machine learning model deployments. This includes automating the entire workflow from code commit to production deployment.
- MLOps Implementation: Collaborate with data scientists and machine learning engineers to create and optimize the MLOps lifecycle. This involves automating model training, versioning, serving, and monitoring in a production environment.
- Automation: Automate repetitive tasks using scripts and tools to streamline operations and improve efficiency.
- Security: Working closely with the security teams, ensure the security of our cloud environment by implementing best practices, managing access controls, and conducting regular security audits.
- Collaboration: Work closely with development, data science, and product teams to understand their needs and provide technical solutions that meet business goals.
- Degree from an accredited college in computer science or related industry experience is required.
- 10+ years of professional DevOps experience is required.
- 2+ years of professional MLOps experience is required.
- 3+ years of strong expertise in the AWS ecosystem (e.g., EC2, S3, RDS, Lambda, SageMaker, EKS) is required.
- Hands-on experience with Terraform for building and managing infrastructure as code (IaC) is required.
- Solid understanding of MLOps principles and the challenges of deploying machine learning models at scale is required.
- 5+ years of professional experience building and managing CI/CD pipelines is required.
- Experience with containerization technologies (Docker, Kubernetes) is required.
- Strong communication skills and ability to work effectively in a team environment is required.
- 5+ years of professional experience with GitHub or similar code repositories is required.
- Strong knowledge of DevOps automations in the AWS ecosystem is required.
- Knowledge of scripting YAML, JSON, Shell, Bash, and Python is required.
- Hands-on experience with building and managing security as code (SaC) is preferred.
- Understanding basic networking principles between AWS and on-premises networks is preferred.
- Comprehensive medical benefits
- Competitive pay
- 401(k) retirement plan
- and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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.