Machine Learning Engineer
170 - 215 PLN/ godz.B2B
#460257·Dodano 4 dni temu·1
Źródło: justjoin.itPodsumowanie oferty
The role supports an MLOps initiative to modernize development of actuarial pricing models, automating model training, deployment, and monitoring. It also manages an AI-powered platform using GenAI to extract, analyze, and categorize information from large volumes of documents.
Wymagania
- Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or a related field.
- Mastery of data science frameworks (pandas, PySpark, sklearn, and SHAP) and MLOps frameworks (MLflow, Kedro/Airflow, Hyperopt/Optuna, and Great Expectations) in Python.
- Experience building GenAI agentic workflows using LangChain or smolagents.
- Basic familiarity with dashboarding tools (Power BI/Tableau).
- Strong understanding of DevOps methodologies (CI/CD) and experience implementing GitHub Actions or similar workflows.
- Experience serving models with APIs using Flask or FastAPI.
- Experience with cloud platforms such as AWS, Azure, or GCP, and containerization tools such as Docker and Kubernetes.
- Extremely high attention to detail and rigor.
Obowiązki
- Create continuous integration templates for model development, supporting version control, testing, and reproducibility of actuarial pricing models and datasets.
- Work with the ML Engineering team and actuaries to audit and optimize the reliability and scalability of model training pipelines.
- Develop monitoring strategies to track system performance, reliability, and efficiency.
- Manage end-to-end operation of the AI platform to support high availability, responsive performance, and secure data handling during document ingestion and processing.
- Oversee integration and management of cloud resources to optimize cost and performance and comply with security standards.
AXA IT Solutions
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