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September 5, 2026
Senior AI Engineer – Financial Services and MLOps
Senior • On-site
18,900 - 29,400 PLN/yr
Warsaw, Poland
Apply now
Description
As a Senior AI Engineer – Financial Services and MLOps, 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 the opportunity to work on intelligent document processing, fraud detection, and predictive analytics in a highly regulated financial environment.
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.
Qualifications
- Minimum of 4 years of experience as an AI Engineer, Machine Learning Engineer, or Data Scientist.
- Strong proficiency in Python and frameworks such as TensorFlow or PyTorch.
- Proven experience building, training, and deploying ML models in a production environment.
- Familiarity with NLP techniques and large language models (LLMs).
- Experience 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 ability to communicate complex models to non-technical stakeholders.
- Fluent written and spoken English and proficiency in Polish.
Eligibility
- Only candidates with an existing legal right to work in the European Union will be considered.
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