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Data Engineer with Azure DevOps
Monterrey
Job No. 12748197
Full-time - Remote
Descripción De La Posición
DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!
Did you know that Accenture is leading the digital transformation in the World?
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.
Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects
Requisitos
Responsibilities:
- Build data ingestion and data transformation infrastructure to stream appropriate data from source into analytic, Client and AI applications
- Set up and automate infrastructure to facilitate Data Science development, integration, and deployment such as CI CD, model health monitoring, automated triggers, model registry, feature stores, etc.
- Familiarity machine learning pipelines across the entire MLOps process Training models, Deploying the business ML models built by data scientists to production with the supporting infrastructure
- Apply software engineering rigor and best practices to machine learning, including CI CD, automation, monitoring , scaling solutions etc.
- Experience on pipe's development in Azure DevOps.
- IAC experience
Requirements:
- 5 years of experience with Microsoft Azure Data Factory.
- Experience on Azure DevOps
- Advanced level of English
- Familiarity (or not) in MLOps
Accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law.
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