Senior Engineer (Machine Learning / AI)
⚲ Krakow
Do uzgodnienia
Wymagania
- CI/CD
- Cloud
- Python
- Java
- Artificial Intelligence (AI)
- BDD (Behavior Driven Development)
- strategy
- Test-Driven Development (TDD)
- Machine Learning (ML)
- API (Application Programming Interface)
Opis stanowiska
Summary
Join a team of six engineers developing flagship AI and ML projects that are transforming the Credit and Lending landscape. You will collaborate closely with business stakeholders to deliver high impact solutions.
Responsibilities
• Write and maintain exemplary, high-quality, testable, and reusable code.
• Lead the design of AI/ML solutions, ensuring they are scalable, robust, and aligned with the platform’s vision.
• Own the engineering execution for significant parts of our AI flagship projects, from technical design through to production deployment.
• Mentor and guide other engineers on the team, growing a culture of technical excellence and continuous improvement.
• Co-author and champion coding standards and AI best practices to ensure fairness, transparency, and accountability across our models.
• Co-drive technical strategy by evaluating and prototyping new technologies, such as advanced RAG techniques, LLM optimizers, and agentic architectures.
• Collaborate extensively with stakeholders across the AI Programme, translating business requirements into technical solutions and communicating complex ideas to diverse audiences.
• Develop and implement sophisticated solutions using Retrieval-Augmented Generation (RAG) and vector databases to unlock insights from complex financial data.
Requirements
• Demonstrated experience in a senior engineering role, with a track record of leading technical projects and mentoring others.
• Deep expertise in Python and its ML/AI ecosystem. Familiarity with Java for occasional middleware and integration tasks is a plus.
• Relational databases (PostgreSQL, etc.), Vector Databases, Key-Value stores (Redis, etc.).
• A strong command of microservices architecture, observability, API design, and concurrency models, with experience in making architectural decisions.
• Expert-level understanding of LLM architectures and extensive experience fine-tuning models on domain-specific data.
• Hands-on mastery of Retrieval-Augmented Generation (RAG), advanced prompt engineering, and designing agentic architectures.
• In-depth knowledge of machine learning, deep learning, and NLP, with proven experience leading the development and experimentation of LLMs.
• Proficiency with Azure or GCP, containers, Kubernetes, and CI/CD tools (e.g., Jenkins, Azure DevOps, GCP Cloud Build).
• Practical experience in TDD and BDD.
Join a team of six engineers developing flagship AI and ML projects that are transforming the Credit and Lending landscape. You will collaborate closely with business stakeholders to deliver high impact solutions.
Responsibilities
• Write and maintain exemplary, high-quality, testable, and reusable code.
• Lead the design of AI/ML solutions, ensuring they are scalable, robust, and aligned with the platform’s vision.
• Own the engineering execution for significant parts of our AI flagship projects, from technical design through to production deployment.
• Mentor and guide other engineers on the team, growing a culture of technical excellence and continuous improvement.
• Co-author and champion coding standards and AI best practices to ensure fairness, transparency, and accountability across our models.
• Co-drive technical strategy by evaluating and prototyping new technologies, such as advanced RAG techniques, LLM optimizers, and agentic architectures.
• Collaborate extensively with stakeholders across the AI Programme, translating business requirements into technical solutions and communicating complex ideas to diverse audiences.
• Develop and implement sophisticated solutions using Retrieval-Augmented Generation (RAG) and vector databases to unlock insights from complex financial data.
Requirements
• Demonstrated experience in a senior engineering role, with a track record of leading technical projects and mentoring others.
• Deep expertise in Python and its ML/AI ecosystem. Familiarity with Java for occasional middleware and integration tasks is a plus.
• Relational databases (PostgreSQL, etc.), Vector Databases, Key-Value stores (Redis, etc.).
• A strong command of microservices architecture, observability, API design, and concurrency models, with experience in making architectural decisions.
• Expert-level understanding of LLM architectures and extensive experience fine-tuning models on domain-specific data.
• Hands-on mastery of Retrieval-Augmented Generation (RAG), advanced prompt engineering, and designing agentic architectures.
• In-depth knowledge of machine learning, deep learning, and NLP, with proven experience leading the development and experimentation of LLMs.
• Proficiency with Azure or GCP, containers, Kubernetes, and CI/CD tools (e.g., Jenkins, Azure DevOps, GCP Cloud Build).
• Practical experience in TDD and BDD.
🔍 Dekoder Ogłoszenia
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Join a team of six engineers developing flagship AI and ML projects that are transforming the Credit and Lending landscape.
Możesz dołączyć do zespołu, który pracuje nad kluczowymi projektami AI/ML, ale 'transformowanie' może oznaczać, że projekty są na wczesnym etapie rozwoju i wymagają dużo pracy.
🔴
Own the engineering execution for significant parts of our AI flagship projects, from technical design through to production deployment.
Będziesz odpowiedzialny za realizację technicznych aspektów kluczowych projektów, co może oznaczać dużą odpowiedzialność i presję.
🔴
Mentor and guide other engineers on the team, growing a culture of technical excellence and continuous improvement.
Oczekuje się od Ciebie roli lidera technicznego i mentora, co może oznaczać dodatkowe obowiączeństwa poza czystym kodowaniem.
🔴
Co-author and champion coding standards and AI best practices to ensure fairness, transparency, and accountability across our models.
Będziesz współtworzyć i promować standardy, co sugeruje, że obecne mogą być niedostateczne lub w fazie tworzenia.
🔴
Co-drive technical strategy by evaluating and prototyping new technologies, such as advanced RAG techniques, LLM optimizers, and agentic architectures.
Będziesz miał wpływ na strategię techniczną, ale 'co-drive' sugeruje, że nie będziesz jedyną osobą decyzyjną, a praca może obejmować eksperymenty z nowymi, potencjalnie niestabilnymi technologiami.