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AI Engineer - Global Indemnity Group
AI Engineer
AI Engineer focused on building scalable ML solutions using Python, TensorFlow, and PyTorch on AWS, driving data‑driven insights for insurance underwriting and risk analytics.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for underwriting and claims analytics.
- Collaborate with data scientists and product teams to translate business problems into ML models.
- Implement model training, hyper‑parameter tuning, and performance monitoring using TensorFlow and PyTorch.
- Leverage AWS services (SageMaker, Lambda, S3, Glue) to build scalable, secure, and compliant data workflows.
- Document model architecture, data lineage, and evaluation metrics for audit and regulatory purposes.
Requirements
- 3+ years of experience in production ML engineering.
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience deploying models on AWS (SageMaker, Lambda).
- Solid understanding of data engineering concepts and SQL.
- Excellent problem‑solving skills and ability to communicate complex ideas to non‑technical stakeholders.
Skills
pythonmachine learningtensorflowpytorchaws