Employer Industry: Technology Services

Why consider this job opportunity:
- Salary up to $63.00 per hour
- Comprehensive benefits including medical, dental, vision, and life insurance
- 401(k) Retirement Plan with pre-tax and Roth options
- Opportunity for career advancement and growth within a leading global engineering and sciences services company
- Hybrid work environment offering flexibility between remote and on-site work
- Supportive and inclusive workplace culture focused on diversity, equity, and inclusion

What to Expect (Job Responsibilities):
- Develop and maintain robust, scalable, and secure infrastructure on AWS to support the entire ML lifecycle
- Automate the deployment of machine learning models and associated infrastructure using Infrastructure as Code (IaC) tools
- Design and implement CI/CD pipelines for machine learning models to enable continuous integration and deployment
- Collaborate with data scientists and engineers to translate operational needs into actionable requirements
- Ensure the security and compliance of the ML infrastructure and data while troubleshooting issues across the ML pipeline

What is Required (Qualifications):
- BS/MS in computer science, engineering, or a related field with 4-6 years of relevant experience
- Proven experience in designing, building, and operating production-grade ML infrastructure and pipelines
- Strong scripting and automation skills using Python
- Experience working with AWS services (EC2, S3, ECS/EKS, SageMaker, etc.)
- Strong knowledge of CI/CD principles and practices

How to Stand Out (Preferred Qualifications):
- Experience with containerization technologies such as Docker and Kubernetes
- Knowledge of data science tools and ML models
- Experience with monitoring and alerting tools (Cloudwatch, Prometheus, Grafana)
- AWS Certifications (e.g., AWS Certified DevOps Engineer)
- Experience with data engineering tasks

#TechnologyServices #MachineLearning #AWS #CareerOpportunity #DiversityEquityInclusion

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.