AXA IT Solutions

Machine Learning Engineer

170 - 215 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#460257·Dodano 19 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Azure Kubernetes Python Docker CI/CD MLflow Pandas

Podsumowanie 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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