As a Software Engineer specializing in Python and Cloud technologies, you will be the driving force behind developing and deploying robust backend infrastructure for our cutting-edge AI solutions within the Azure ecosystem. Collaborating closely with Data Scientists, AI Engineers, and DevOps, you will build the scalable, secure, and high-performing foundations needed to integrate AI-driven capabilities into our business applications. Your deep expertise in Python software engineering and Azure cloud services will be crucial in operationalizing these models and realizing this vision.
How you will get the job done
building and maintaining scalable APIs and microservices in Python to efficiently serve data and AI/ML-based solutions to customers
designing, developing, and deploying robust backend applications and infrastructure using Azure services
streamlining model operationalization and building the backend infrastructure required for fast and reliable model inference
writing and maintaining unit tests, ensuring robust test coverage, and enforcing strict Python coding best practices (clean code, maintainability, and performance optimization)
working closely with Data Scientists and AI Engineers to bridge the gap between model creation and production-ready enterprise solutions
ensuring all solutions adhere to security, development, and governance standards
creating clear, concise technical documentation for developed components
working in Agile/Scrum teams to deliver high-quality applications on schedule
Skills and experience you will need
fluency in English
deep expertise in Python code development, in strict compliance with clean code practices, design patterns, and industry standards
strong hands-on experience with the Azure cloud platform and its core compute, networking, and storage services (e.g., Azure Blob Storage, Azure Data Factory)
proven, extensive experience in developing, securing, and maintaining RESTful APIs and microservices
familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying scalable applications
solid understanding of CI/CD pipelines and DevOps best practices within the Azure DevOps environment
ability to thrive in an agile environment and work effectively with multidisciplinary teams
understanding of Generative AI, Large Language Models (LLMs), and Machine Learning technologies
hands-on experience with Azure OpenAI, Azure Machine Learning, and Cognitive Services
experience with tools like MLflow and Databricks for managing the machine learning lifecycle
experience working with vector databases for advanced search and retrieval
practical experience with AI-specific security measures and model governance
About Us
ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.
Your responsibilities - Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support - Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic - Implementing asynchronous and parallel programming solutions ...
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