ITDS

Senior AI Engineer – Financial Services and MLOps

18.9k - 29.4k PLN18 900 - 29 400 PLN/ mies./ mies.B2BB2B (netto)

MidHybryda·WarszawaFull-time·B2B

#462336·Dodano 24 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Python Machine Learning TensorFlow PyTorch Natural Language ProcessingMLOpsCloud Platforms (AWS/Azure/GCP)SQL Large Language ModelsFinancial Services Domain

Podsumowanie oferty

As a Senior AI Engineer, you will design and deploy AI and machine learning solutions for a client in the banking industry. The work includes applications such as intelligent document processing, fraud detection, and predictive analytics, using Python, TensorFlow or PyTorch, and MLOps.

Wymagania

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.

Obowiązki

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.

Inne informacje

Only candidates with an existing legal right to work in the European Union will be considered for this role.

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