MLOPS - Machine Learning Operations Engineer

MLOPS - Machine Learning Operations Engineer About the job Priority 1 Position: MLOPS - Machine Learning Operations Engineer Location: 100% REMOTE Duration: Long term contract on C2C Targeted Years of Experience: 3-5 years The MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine learning models. They will work with data scientists and engineers to automate the process of training, testing, and deploying models. They will also monitor the performance of the models in production and troubleshoot issues as needed. In this role, you will have the opportunity to work with some of the latest technologies and tools to build scalable and reliable systems. If you are passionate about DevOps and machine learning, this is the role for you! Responsibilities Creating, deploying, and monitoring AI/ML pipelines Create and maintain the MLOps production infrastructure and services. Drive software development methods such as code profiling, regression testing, continuous integration, and push button deployments. Develop/maintain processes, tools, and documentation to support production. Ensure adequate infrastructure security. Address production issues. Assist in the evaluation of new software, hardware, and infrastructure solutions. Experience with a variety of scripting languages for automating tasks, generating reports, and creating tools (e.g. Python, Shell, SQL) Must Have Skills (Most Important) 5+ years of experience in CI/CD, ML Pipelines, and Python 3+ years of experience in Big Data, such as Teradata and Bigquery Desired Skills Experience with a public cloud provider, such as AWS, Azure, or GCP Experience with containerization, such as Docker or Kubernetes Education/Certifications B.S. in Computer Science or related field. J-18808-Ljbffr