Machine Learning Engineer
Miejsce pracy : Warszawa
Technologies we use
Expected
- Azure
- Docker
- Kubernetes
- MLFlow
- Pandas
- PowerBI
- Langchain
- CI / CD
- FastAPI
- Python
Operating system
WindowsAbout the project
We are launching an MLOps initiative to modernize the development of our actuarial pricing models by integrating best practices in machine learning operations. This project will involve automating model training, deployment, and monitoring processes, ensuring that our actuaries can operate with increased efficiency, reproducibility, and scalability in a production environment.
We are developing an AI-powered platform that leverages GenAI to accurately extract, analyze, and categorize information from large volumes of documents. This platform aims to streamline document processing workflows and enhance the speed and precision of data retrieval across various internal use cases.
Your responsibilities
Create continuous integration templates tailored for model development ensuring version control, testing, and reproducibility of our actuarial pricing models and datasets.Close work with members of the ML Engineering team and actuaries to audit and optimize the reliability and scalability of the actuaries' model training pipelines.Develop effective monitoring strategies to track the performance, reliability, and efficiency of the system.Manage the end-to-end operation of the AI platform to guarantee high availability, responsive performance, and secure data handling during document ingestion and processing.Oversee the integration and management of cloud resources to optimize cost, performance, and compliance with security standards, thereby enabling continuous innovation on the platform.Our requirements
Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field.Mastery over Data Science frameworks (pandas, pyspark, sklearn and shap) and MLOPS frameworks (MLFlow, Kedro / Airflow, Hyperopt / Optuna and Great Expectations) in Python.Experience with building GenAI agentic workflows using Langchain or smolagents.Basic familiarity with Dashboarding tools (PowerBI / Tableau).Strong understanding of DevOps methodologies (CI / CD) and experience implementing Github Actions (or similar) workflows.Experience with serving models with APIs using Flask or FastAPI.Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).Extremely high attention to detail and rigor.This is how we organize our work
Team size
This is how we work
in houseyou have influence on the technological solutions appliedyou develop the code "from scratch"you focus on product developmentagilescrumTeam members
product ownerproject managerIT administratorThis is how we work on a project
Clean Codecode quality measurescode reviewdesign patternsstatic code analysisBDDpair programmingTDDarchitect / technical leader supportContinuous DeploymentContinuous IntegrationDevOpsactive monitoringdocumentationissue tracking toolsintegration teststest automationtesting environmentsunit testsDevelopment opportunities we offer
conferences in Polanddevelopment budgetindustry-specific e-learning platformsintracompany trainingsoft skills trainingsubstantive support from technological leaderstechnical knowledge exchange within the companyBenefits
sharing the costs of sports activitiesprivate medical caresharing the costs of foreign language classessharing the costs of professional training & coursesremote work opportunitiesflexible working timefruitsintegration eventscorporate gymcorporate sports teamno dress codevideo games at workcoffee / teadrinksparking space for employeesleisure zonesharing the commuting costsemployee referral programAXA Avanssur SA Oddział II w Polsce
We are an internal software house operating within the international insurance group AXA. We provide IT solutions for the needs of AXA companies in Europe. We work in English on a daily basis, in close-knit teams, carrying out international development projects.
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