Senior AI Engineer – Financial Services and MLOps

Talanto; Poland; Hybrid; PLN 211,000 - 328,000; Full time

Job summary

Talanto is seeking a Senior AI Engineer – Financial Services and MLOps in Poland under a hybrid work model. You will design AI-driven solutions for banking, including fraud detection, predictive analytics and intelligent document processing, in a highly regulated environment.

You will collaborate with business analysts, deploy models to production, and advance MLOps with DevOps teams while ensuring compliance and data security. Fluency in English and Polish is required.

Qualifications

• 4+ years in AI/ML engineering or data science roles.
• Strong Python proficiency and ML framework experience.
• Experience deploying ML models in production.
• NLP techniques and large language models familiarity.

Responsibilities

• Design, develop, and deploy AI/ML models for banking use cases.
• Collaborate with analysts to translate business needs into AI solutions.
• Integrate models into scalable production systems and pipelines.
• Monitor and improve model performance in production.

Skills

Python

ML

Communication

Problem solving

Tools

TensorFlow

PyTorch

MLflow

Kubeflow

Cloud platforms (AWS/Azure/GCP)

Job description

Senior AI Engineer – Financial Services and MLOps

18,900 – 29,400 PLN

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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.