ITTConnect is a staffing agency that specializes in connecting IT professionals with companies across various industries in the USA and Latin America. They provide tailored recruitment solutions including IT recruiting, staff augmentation, and executive search services. The company utilizes a network of specialized IT recruiters and cutting-edge recruiting tools to efficiently meet the staffing needs of their clients, ensuring quality and a high submit-to-hire ratio.
IT Recruiting β’ IT Staffing β’ IT Executive Search β’ Nearshore IT Services β’ IT Services and Consulting
March 3
ITTConnect is a staffing agency that specializes in connecting IT professionals with companies across various industries in the USA and Latin America. They provide tailored recruitment solutions including IT recruiting, staff augmentation, and executive search services. The company utilizes a network of specialized IT recruiters and cutting-edge recruiting tools to efficiently meet the staffing needs of their clients, ensuring quality and a high submit-to-hire ratio.
IT Recruiting β’ IT Staffing β’ IT Executive Search β’ Nearshore IT Services β’ IT Services and Consulting
β’ This is a remote position. β’ ITTConnect is seeking an Machine Learning Deployment / MLOps Azure Engineer to work remotely for a client in the US. β’ This is a position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. β’ Job location : Remote, work from home anywhere in Brazil, following US Pacific time.
β’ Minimum 12+ years of IT experience β’ Must be fluent in English β’ Highly desirable previous experience working for US based clients β’ Strong experience with Azure DevOps β’ Hands-on experience deploying ML models in production, preferably using Azure ML, Azure Functions, or AKS (Azure Kubernetes Service) β’ Strong knowledge of CI/CD pipelines for ML models, infrastructure as code (Terraform, ARM templates), and containerization (Docker, Kubernetes) β’ Experience with model versioning, monitoring, A/B testing, and optimizing inference times β’ Proficiency in developing and maintaining data pipelines within Azure, including data ingestion, transformation, and refresh processes and database creation and automation of processes
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