Offer summary

Qualifications:

Minimum 12+ years of IT experience, Fluency in English is required, Strong experience with Azure DevOps and MLOps, Proficiency in developing data pipelines within Azure..

Key responsabilities:

Deploy machine learning models in production using Azure ML or AKS

Manage CI/CD pipelines for ML models and infrastructure as code

Optimize model performance and monitor versioning

Automate data ingestion and transformation processes.

Job description

This is a remote position.

ITTConnect is seeking an Machine Learning Deployment / MLOps Azure Engineer to work remotely for a client in the US. 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.

Job location: Remote, work from home anywhere in Brazil, following US Pacific time .

Requirements

Minimum 12+ years of IT experience
Must be fluent in English
Highly desirable previous experience working for US based clients
Strong experience with Azure DevOps

Machine Learning Deployment & MLOps Experience: Hands-on experience deploying ML models in production, preferably using Azure ML, Azure Functions, or AKS (Azure Kubernetes Service)

Cloud & Infrastructure Automation: Strong knowledge of CI/CD pipelines for ML models, infrastructure as code (Terraform, ARM templates), and containerization (Docker, Kubernetes)

Scalability & Performance Optimization: Experience with model versioning, monitoring, A/B testing, and optimizing inference times

Data Engineering: Proficiency in developing and maintaining data pipelines within Azure, including data ingestion, transformation, and refresh processes and database creation and automation of processes

Required profile