Machine Learning Engineer (MLE)
Core
Developing, deploying, and sustaining production Machine Learning and AI solutions, focusing on data pipelines, predictive models, and intelligent solutions.
Role type
Machine Learning Engineer (MLE)
Builds
Production ML models, data pipelines, and intelligent solutions for operational efficiency and process optimization.
Domain
Industrial operations, cloud infrastructure, and predictive analytics.
Deliverable
production ML models
Required skills
Python, SQL, data engineering, MLOps, code versioning, cloud architecture, predictive modeling, pipeline optimization.
Preferred skills
Experience in production/industrial scenarios, operational efficiency monitoring, process prediction and optimization.
Technologies
Azure, Databricks, Python, SQL.
Responsibilities
Build and optimize data pipelines, develop predictive models, implement MLOps best practices, ensure scalability in cloud environments, integrate analytical solutions.
Seniority
Mid-level to Senior, hands-on IC