AI Development Specialist

1 week ago

Dublin, Dublin City, Ireland beBeeMachineLearning Full time €90,000 - €120,000
AI Development Specialist

As a leading innovator in machine learning and AI technology, we are seeking an expert to develop scalable agentic platforms that accelerate the development and deployment of intelligent solutions at scale for fraud detection.

This position offers the opportunity to work at the intersection of AI engineering and data science, helping build advanced systems that support internal data science use cases.

Key Responsibilities:
  • Design and prototype data-driven solutions that enhance model development lifecycle, automation, and large-scale ML enablement.
  • Apply advanced machine learning and statistical techniques to solve high-impact, system-level problems with real-world constraints.
  • Explore and integrate emerging trends in agentic AI and LLMs into intelligent assistants, toolkits, or reasoning systems that support internal data science use cases.
  • Develop methodologies for scalable decision-making, tool orchestration, and memory-based reasoning in agentic workflows.
  • Collaborate with platform engineering and product teams to translate prototypes into reusable components and frameworks.
  • Stay up to date with academic and industry research, and help shape the adoption of cutting-edge ML techniques into our ecosystem.
Requirements:
  • Minimum 2 years of industry experience as a Machine Learning Engineer, ML Scientist, or in a similar applied role.
  • Strong understanding of machine learning concepts, techniques, and frameworks (e.g. PyTorch, TensorFlow, XGBoost, scikit-learn).
  • Familiarity with agent frameworks or agentic system design (e.g. ReAct, AutoGPT, OpenAgents, HuggingGPT, RAG), including use of tools, memory, and planning components.
  • Proficient in Python, with experience in building production-quality software using object-oriented programming and software engineering principles.
  • Curious and passionate about staying up to date with the latest ML research and best practices.
  • Strong problem-solving and communication skills, with a collaborative mindset.
  • Experience in multi-team or cross-functional collaboration is a plus.

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