Machine Learning Operations Engineer
Responsibilities
Kforce has a client that is seeking a Machine Learning Operations Engineer in Westlake, TX. 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
• 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
Requirements
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 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
• Proven experience with building container-based systems such as Docker
• Proficient in Python and/or Java, with strong coding and debugging skills
• Exposure to continuous integration & delivery (CI/CD) practices
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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