MLOps Engineer

Job Title: MLOps Engineer - W2 Only - We can provide sponsorship

Duration: Long Term

Location: Westlake, TX - Hybrid

Must Have:

• Machine Learning Operations Experience with Sagemanker
• Experience developing applications in AWS Cloud
• REST API Development in Python
• CI/CD in Jenkins or similar tools.

The Expertise and Skills You Bring

• 7+ years of experience in machine learning
• 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
• 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

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.