Machine Learning Operations Engineer
The role of a Machine Learning Operations Engineer is crucial in the development and deployment of AI-powered systems. This position requires expertise in designing, building, and maintaining MLOps pipelines for model deployment, monitoring, and lifecycle management.
Key Responsibilities:
• Create efficient data ingestion processes to support machine learning workflows.
• Migrate machine learning workflows and models from legacy platforms to modernized environments like Databricks.
• Develop optimized environments for real-time serving using Streamlit interfaces.
• Automate feature engineering processes to reduce manual intervention.
h3>Skillset Required:
pThis role demands strong programming skills in Python for data processing and ML tasks.
Familiarity with compliance frameworks (e.g., GDPR) is also required.
h3>Benefits:
