AI/ML Architect Consultant using deep AI/ML expertise to address financial sector problems at GFT Poland. Advising stakeholders and managing implementation projects in Data & AI.
Responsibilities
Use deep AI/ML expertise to solve challenging problems in the financial sector, including banking and financial services.
Advise stakeholders on solving business problems using analytical methods and tools.
Own the technical engagement and ultimate success of specific implementation projects.
Shape how decisions are made and capture and share best practices within the Data & AI community.
Requirements
Experience in designing analytical solutions to solve business problems (e.g. decisioning, optimization, risk management, fraud detection)
Experience in solving complex business problems with AI solutions, such as ML-based systems, AI agents, chatbots, AML or advanced analytics
Practical knowledge of AI technologies and frameworks (e.g. LLMs, NLP, ML pipelines, vector databases, model serving, MLOps)
Practical knowledge of the modern data landscape and familiarity with leading analytics platforms
Experience in leveraging cloud solutions with one of the leading public cloud providers (AWS, GCP, or Azure)
Knowledge of modern architectures, including microservices, containers, Kubernetes, Kafka, API management, event-driven systems, and agentic systems
Understanding of non-functional requirements (security, performance, observability, resilience, and governance)
Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences and confidently engage senior stakeholders
Ability to translate business requirements into secure, scalable, and reliable solutions
Ability to support sales and offering development, including creating proposals and solution blueprints for clients
Previous experience in banking, financial services, or fintech is highly desirable.
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