AI Expert in Finance (Sourcing Requisition)

Nasze wymagania: Deep awareness of the latest technology industry developments. Familiarity with at least one major cloud platform (AWS, Azure or GCP). Excellent Python, and proficient SQL skills. AI expertise in LLMs, prompt engineering, reinforcement learning and model fine-tuning, MLOps. Degree in Finance, Mathematics, Data Science, or a related quantitative/technical field. Proven track record in GenAI / Agentic AI tools development. Very good communication and stakeholder management skills being able to explain technical concepts to business SMEs. Mile widziane: Experience in the banking, insurance or fin-tech sectors is a plus. Java, JavaScript/React is a plus. Infrastructure & automation tools (Terraform, GitHub CI/CD, Kubernetes, Snowflake; container orchestration as RedHat OpenShift). Familiarity with finance workflows (risk modelling, valuation, forecasting, regulatory compliance, fraud detection). Architecture design principles across IT systems experience. O projekcie: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Zakres obowiązków: Support AI initiatives in Finance data domain, contributing to best practices and scalability. Take part in designing and implementing modern AI solutions, including generative AI and LLM-based workflows across financial sector clients. Execute end-to-end testing of AI solutions and build agentic AI capabilities that enhance automation and decision support within financial processes. Analyse existing AI solutions from other areas and help identify components that can be reused in ongoing projects. Collaborating with sector SMEs to design and optimize data pipelines for AI training and inference. Participate in evaluating model quality and identifying opportunities for further improvement of model performance, focusing on accuracy, compliance, and iterative enhancements. Oferujemy: Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.