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  1. Go to Settings.
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Jobs or company...

Lead AI/LLM Engineer

Salary undisclosed

Apply on

Linkedn
Original
Simplified
Responsibilities:
  • Architect and implement solutions that structure medical data efficiently.

  • Develop and fine-tune deep learning models, particularly Large Language Models (LLMs), for the medical domain.

  • Collaborate with other team members as well as healthcare professionals to understand their needs, translate them into technical requirements and evaluate feasibility of solutions.

  • Lead the evaluation and adoption of new technologies and methodologies from the domain of AI, machine learning and NLP.

  • Provide technical guidance and mentorship to other team members.

  • Communicate complex technical details in an understandable manner to non-technical stakeholders.

  • Adhere to ethical AI practices and data privacy regulations.

  • Gain understanding of medical terminologies and clinical data models.


    • Qualifications:
  • 5 years of hands-on experience in software engineering, with a focus on NLP and machine learning

  • Proficiency in Python with experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, Huggingface, AutoGen etc.

  • Experience with deep learning models, especially Large Language Models, including fine-tuning, RAG, function calling, implementation and optimization of models like GPT-4, BERT, LLaMA etc.

  • Strong experience working with machine learning and natural language processing techniques and tools.

  • Professional experience with cloud platforms like AWS, Azure or Google Cloud

  • Ability to drive a project and work both independently and within a cross-functional team.


    • Additional:
  • Hands-on experience working with standard medical terminologies like SNOMED, LOINC, RxNorm

  • Hands-on experience with clinical data models and using NLP to explore EHR records

  • Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks.

  • Understanding of deep learning model classes such as GPT, VAE, and GANs.

  • Experience with OCR and understanding of its application in document analysis and recognition

  • Experience with AWS Cloud Services, specifically related to machine learning (SageMaker, Bedrock, Comprehend, Lex, Textract, etc.).

  • M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree


    • What do we appreciate?
  • Effectively communicates technical concepts to both technical and non-technical stakeholders

  • Great written and verbal communication in English

  • Open mindset, ability to experiment and provide innovative solutions

  • Proactivity and curiosity

  • Team player

  • Interest in the Neuroscience domain

  • EU / MYT timezone

  • Nice to have: experience with creating a product from scratch


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