Senior Machine Learning Engineer AIDA
Core
Managing MLOps workflows, tools, and production support processes to ensure stability, reliability, and performance of ML and GenAI solutions.
Role type
Senior MLOps Engineer
Builds
Production ML and GenAI pipelines and operational health
Domain
Telecommunications / Machine Learning Operations
Deliverable
production ML models
Required skills
MLOps processes and tools, SQL, Databricks, MLflow, PowerBI/Tableau, model lifecycle management, data quality tracking, incident handling, CI/CD, scripting
Preferred skills
Cloud ML platforms (Azure ML), Git, data analysis, governance implementation
Technologies
MLflow, Databricks, Azure ML, Power BI, Tableau, SQL
Responsibilities
Design and manage MLOps workflows and operational processes; oversee stability and reliability of ML models and pipelines; manage model registration, versioning, lineage, and governance; implement monitoring for data drift, concept drift, and model performance; set up dashboards and alerts for operational metrics; develop incident handling and recovery plans; support data governance policies and documentation.
Seniority
Senior, hands-on IC