AI Solutions Engineer - banking ? @ ITDS
(práce v Polsku)

AI Solutions Engineer - banking ? @ ITDS

Polsko

As an AI Solutions Engineer you will be working for our client, a global financial institution driving AI transformation across its platforms. You will play a crucial role in developing and fine-tuning Large Language Models (LLMs), implementing Retrieval-Augmented Generation solutions, and ensuring ethical and scalable AI applications. The client is investing in advanced AI capabilities to enhance data intelligence, automate decision-making, and deliver more efficient services. You will be collaborating with cross-functional teams, aligning technical strategies with business objectives to innovate responsibly in a regulated environment.

Youre ideal for this role if you have:

• Proven experience with prompt engineering and LLM fine-tuning
• Hands-on knowledge of Retrieval-Augmented Generation and vector databases
• Strong foundation in NLP, machine learning, and deep learning techniques
• Proficiency in Python and experience working with SQL
• Familiarity with GitHub workflows and CI/CD automation
• Experience working on Azure and/or GCP cloud platforms
• Ability to align AI solutions with fairness and ethical standards
• Strong skills in communicating technical ideas to diverse audiences
• Ability to collaborate effectively in cross-functional teams
• Experience developing and deploying production-ready AI systems

It is a strong plus if you have:

• Prior experience developing AI in a regulated financial services environment
• Advanced knowledge of responsible AI frameworks or governance models
• Exposure to MLOps and model lifecycle management tools
• Knowledge of Transformer-based architectures and embedding

,[Designing and optimizing prompts for LLMs across multiple business use cases, Fine-tuning pre-trained models with domain-specific data for accuracy improvement, Implementing Retrieval-Augmented Generation pipelines and managing vector databases, Developing scalable NLP, ML, and AI systems that support business goals, Applying AI best practices to ensure fairness, transparency, and accountability, Writing and maintaining efficient, production-grade Python code, Using GitHub and CI/CD pipelines for seamless development and deployment, Collaborating with data scientists, engineers, and business stakeholders, Deploying and scaling AI models on Azure and GCP environments, Presenting complex technical insights to non-technical stakeholders clearly] Requirements: Python, SQL, Azure, GCP, NLP, GitHub Additionally: Sport subscription, Private healthcare, Pluralsight, International projects.

Kategorie

artificialIntelligence

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