DevOps/ MLOps Engineer III (W2 Only)

Note: This role is on W2 Basis only!

Client: Oil and Gas Industry

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.

The successful candidate will meet the following qualifications:

• Degree from an accredited college in computer science or related industry experience is required.
• 5+ 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.