{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"

Role Summary:

Implement ML experiment tracking and model versioning using MLflow, DVC, and Weights & Biases
Build validation documentation frameworks for GxP/ISO compliance
Design and deploy model explainability solutions using SHAP, LIME, and custom approaches
Implement model monitoring and drift detection pipelines
Develop AI governance frameworks and model cards for enterprise adoption
Ensure compliance with ISO 26262, GxP, and emerging AI regulations

Essential Skills

MLOps: MLflow, DVC, Kubeflow, Weights & Biases
Python testing for model validation and CI/CD
Explainability: SHAP, LIME, Captum
Model monitoring and drift detection
Regulatory frameworks: GxP, ISO 26262, EU AI Act
AI governance frameworks and model cards
Cloud ML platforms: SageMaker, Azure ML, Vertex AI

Experience

5–10 years in ML engineering/MLOps with experience in regulated industries (automotive, energy-tech, medtech etc.)

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