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.#MAKE

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• 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.