Senior Machine Learning Engineer - Sao Paulo, Brasil - Stellantis South America

Descrição

About the jobYour Mission

The Global Analytics & Data Products Team is looking for a Senior Machine Learning Engineer.

As a key member of the MLOPS team, your mission is to put science into decision making through machine learning initiatives.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:

Developing, researching and implementing MLOps frameworks, tools and platforms for our Data Science projectsDesigning and implementing infrastructure for machine learning cloud servicesCreating microservices for task-specific AI cloud servicesImplementing solutions for monitoring model performance and triggering alertsEnhancing speed of delivery, automating Model Retraining, Model Monitoring, Model Versioning, improving quality/security of code, and optimizing processesCollaborating with the data platform team to create a feedback loop and improve the underlying data infrastructurePartnering with peers to ensure scalability, business continuity and appropriate turnaround timeWorking on a backlog of activities to raise MLOps maturity in the organization.

Evolve our framework as new technologies and techniques emergeProactively introduce a modern, agile and automated approach to Data Science

Top Performers will be able to demonstrate

Experience in converting data science prototypes for deployment into production purposesRecord of designing and implementing scalable, performant data and machine learning pipelines, services, and productsUnderstanding of distributed data systems and experience in using open source frameworks to build applicationsBe able to communicate collaboratively with Data Scientist, Infrastructure teams and client to understand requirements and scopeSolid intuition when choosing the right ML/AI approaches to the problems givento influence non-technical peers and leadership to deliver substantive changefor less experienced colleagues and guardian of good standards

Skills

MSc / MEng degree in Statistics, Computer Science, Automatic Control, STEM, Engineering or a related disciplineExperience, coding in Python or other languagesExperience in the operationalization of Data Science projects (MLOps) using Databricks+MLFlow,Hands-on experience with PySpark and SQLWorking proficiency in English


Extra points for:

Multidimensional skill set:
data science, experimentation, AI, statistics, engineering, etc.
Experience in front- and backend design and development (leveraging Django, , Streamlit or similar)experience with containerization (using Kubernetes, Docker)in CI/CD/CT pipeline implementationoverview of AWS services to design cloud solutionsknowledge in shell scripting and networking