Machine Learning Operations Engineer

Job Summary

Location: Westlake, TX OR Smithfield, RI

Required Skills
• 3+ years of experience in MLOps, DevOps, or a related field with a focus on machine learning
• 1+ years of experience developing solutions on the AWS cloud platform
• Proficient in Python and/or Java, with strong coding and debugging skills
• Exposure to continuous integration & delivery (CI/CD) practices
• Proven experience with building container-based systems such as Docker

location: Roanoke, Texas

job type: Contract

salary: $72 - 73 per hour

work hours: 8am to 5pm

education: Bachelors

Responsibilities
• Model Deployment and Management: Develop and manage the deployment of machine learning models in production environments, ensuring scalability, reliability, and efficiency.
• Infrastructure Automation: Design and implement automated workflows and pipelines for model training, testing, and deployment using tools like Jenkins, Docker, and Kubernetes.
• Aerospike Management: Use Aerospike for high-performance data storage and retrieval, ensuring optimal data handling for machine learning applications.
• API Development: Design, develop, and maintain robust APIs for model integration with various applications and services.

Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Skills
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders to understand requirements and translate them into technical solutions.
• Monitoring and Optimization: Implement monitoring and logging solutions to track model performance and system health, optimizing as necessary to meet business objectives.
• Security and Compliance: Ensure that all deployed models and systems align with industry standards and regulations, implementing vital security measures.

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 health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.