AI Engineer
Core
Build and operationalize AI/ML pipelines and applications on Google Cloud Platform and Azure to support advanced analytics use cases and business processes.
Role type
AI Platform Engineer (ML Ops)
Builds
Machine Learning pipelines, analytical applications, and cloud infrastructure for data scientists
Domain
Consumer Goods / Cloud Infrastructure / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, data modeling, cloud infrastructure (GCP/Azure), DevOps practices, CI/CD, troubleshooting
Preferred skills
PyTest, mocking, static code analysis, source control management, logging and monitoring, architecture improvement
Technologies
Google Cloud Platform, BigQuery, Kubeflow, Python, SQL, Azure, Databricks, Azure ML, AKS, ADF, Composer, GKE, GitHub Actions, Jira
Responsibilities
Design and develop applications sourcing data from various systems; optimize analytical solutions at scale; operationalize Machine Learning models as integral elements of IT solutions; troubleshoot infrastructure issues; implement best Platform Engineering practices; craft and develop proof of concepts or prototypes
Seniority
Entry Level, hands-on IC