Senior AI Engineer – Financial Services and MLOps
⚲ Warszawa
18 900–29 400 zł netto (+ VAT) / mies.
Wymagania
- Python
- AWS
- Microsoft Azure
- Google Cloud Platform
- SQL
Opis stanowiska
Nasze wymagania:
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
O projekcie:
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.
Unleash the Power of Generative AI — Redefine the Future of Financial Services!
Poland-based opportunity with hybrid work model.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
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
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
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
O projekcie:
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.
Unleash the Power of Generative AI — Redefine the Future of Financial Services!
Poland-based opportunity with hybrid work model.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
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
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
🔍 Dekoder Ogłoszenia
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designing innovative AI-driven solutions
Może oznaczać projektowanie od podstaw lub adaptację istniejących rozwiązań, a innowacyjność może być subiektywna.
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optimize decision-making, enhance customer experience, and elevate operational efficiency
Są to ogólne cele biznesowe, które mogą nie odzwierciedlać faktycznej złożoności lub wpływu pracy inżyniera AI.
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cutting-edge projects
Może oznaczać pracę z najnowszymi technologiami, ale też projekty na wczesnym etapie rozwoju z niepewnym sukcesem.
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highly regulated financial environment
Oznacza to, że procesy wdrażania i eksperymentowania z modelami mogą być znacznie wolniejsze i bardziej złożone niż w innych branżach.
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hybrid work model
Może oznaczać elastyczność, ale też niejasne oczekiwania dotyczące liczby dni w biurze lub konieczność dostosowania się do potrzeb klienta.