Intelligent Decision Maker

2 days ago

Dublin, Dublin City, Ireland beBeeData Full time €80,000 - €124,000
Job Description

We're seeking a skilled Data Scientist – LLM Agent to join our team. As a Data Scientist, you will design and prototype data science solutions that enhance model development lifecycle (MDLC), automation, and large-scale ML enablement.

You will apply advanced machine learning and statistical techniques to solve high-impact, system-level problems with real-world constraints. Additionally, you'll explore and integrate emerging trends in agentic AI and LLMs into intelligent assistants, toolkits, or reasoning systems that support internal data science use cases.

Required Skills and Qualifications
  • 2+ years of industry experience as a Machine Learning Engineer, ML Scientist, or in a similar applied role.
  • Solid 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.
  • Familiar with LLM and agentic system performance evaluation.
  • 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.
Benefits

Our balanced hybrid work model offers flexibility, ensuring that you have the benefits and conveniences of both locations. We offer health and life insurance, employee stock options, and more. To learn more about our benefits, please visit our website.

About Us

We provide equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other characteristic protected by law. We are committed to cultivating inclusivity and belonging across our global teams.

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