Senior Large Language Model Data Scientist

2 weeks ago


Remote, Czech Republic Link Group Full time
{"Requirements": "AI, NLU, GPT-3, LoRA, QLoRA, Cloud platform, GCP, Azure, AWS, BigQuery, Dataflow, Dataproc, Vertex AI, PUB, SUB, CI/CD Pipelines, Cloud Build, Artifact Registry", "Tools": "Agile, Scrum", "Job Overview": "We are seeking a seasoned Data Scientist to lead the development of our next-generation AI solutions. The ideal candidate will have expertise in prompt engineering, large language model fine-tuning, and inference tuning, and will work closely with cross-functional teams to address risks, ethical concerns, and the technical challenges of deploying AI solutions in production environments.", "Key Responsibilities": "
  • Prompt Engineering: Design and optimize prompts to generate qualitative risk summaries for various customer due diligence segments and countries.
  • ML Pipeline Adjustments: Modify machine learning pipelines to suit new segments and improve performance in risk summarization.
  • Large Language Model Evaluation: Conduct LLM evaluations focused on knowledge, alignment, safety, and applicability.
  • Information Retrieval & RAG: Work on retrieval-augmented generation (RAG) techniques to enhance information retrieval.
  • Large Language Model Fine-Tuning: Perform fine-tuning of large language models using efficient strategies like LoRA, QLoRA, and other techniques.
  • Cloud Integration: Implement the solution on Google Cloud Platform, using tools like BigQuery, Vertex AI, Cloud Run, Cloud Build, and Artifact Registry for data processing and model deployment.
  • Collaboration: Work with cross-functional teams to ensure that AI models are ethically sound and meet the desired performance standards.
", "Project Overview": "The GenAI CDD Support project aims to augment the Customer Due Diligence review process using generative AI solutions. The project focuses on scaling up the risk summarization capabilities developed by the customer, refining risk summaries, and delivering a fully functional end-to-end pipeline.", "Language": "en"}

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