Senior AI Engineer – Financial Services and MLOps

Unleash the Power of Generative AI — Redefine the Future of Financial Services! Poland-based opportunity with hybrid work model. As a Senior AI Engineer – Financial Services and MLOps, you will be working for our client, a global leader in the banking industry. You will support digital transformation initiatives by designing innovative AI-driven solutions to optimize decision-making, enhance customer experience, and elevate operational efficiency. This role offers a chance to work on cutting-edge projects such as intelligent document processing, fraud detection, and predictive analytics, within a highly regulated financial environment. Your main responsibilities: • Design, develop, and deploy AI and machine learning models tailored for banking use cases • Collaborate with business analysts and stakeholders to translate business requirements into AI solutions • Integrate AI models into scalable and reliable production systems • Monitor, evaluate, and continuously improve model performance • Work with structured and unstructured financial data to derive predictive insights • Apply generative AI and natural language processing techniques to improve customer-facing services • Ensure compliance with data privacy, security, and regulatory standards across all solutions • Document processes, models, and frameworks to promote transparency and knowledge sharing • Partner with DevOps teams to optimize MLOps and deployment pipelines • Stay abreast of emerging AI technologies and identify innovative applications within the financial sector You're ideal for this role if you have: • Minimum of 4 years of experience as an AI Engineer, Machine Learning Engineer, or Data Scientist • Strong proficiency in Python and frameworks like TensorFlow or PyTorch • Proven experience in building, training, and deploying ML models in a production environment • Familiarity with NLP techniques and large language models (LLMs) • Experience working with cloud-based AI environments (AWS, Azure, or GCP) • Solid understanding of MLOps practices and tools such as MLflow or Kubeflow • Good knowledge of SQL and expertise in handling large datasets • Strong problem-solving skills and the ability to communicate complex models to non-technical stakeholders • Fluency in English (both written and spoken) and proficiency in Polish Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.