Machine Learning Engineer

About the Role

Phonologies is seeking a hands-on ML Engineer who bridges data engineering and machine learning designing and implementing production-ready ML pipelines that are reliable, scalable, and automation-driven.

You'll own the end-to-end workflow : from data transformation and pipeline design to model packaging, fine-tuning preparation, and deployment automation.

This is not a Data Scientist or MLOps role its data-focused engineering position for someone who understands ML systems deeply, builds robust data workflows, and develops the platforms that power AI in production.

Role & responsibilities

Machine Learning Pipelines & Automation :

• Design, deploy and maintain end-to-end ML pipelines.
• Build data transformation tiers (Bronze, Silver, Gold) to enable structured, reusable workflows.
• Automate retraining, validation, and deployment using Airflow, Kubeflow, or equivalent tools.
• Implement Rules-Based Access Control (RBAC) and enterprise-grade authorization.

API & Platform Architecture :

Cloud & Deployment :

Collaboration & Integration :

Preferred candidate profile

Experience : 5+ years in Data Engineering or ML Engineering, with proven experience in :

Technical Skills :

Education : Bachelors or Masters in Computer Science, Machine Learning, or Information Systems.

Communication & Collaboration : Translating technical concepts, business storytelling, cross-functional delivery.