LLM Data Science Expert

Minimum of 10 + years of experience in data science or machine learning roles with a focus on NLP/LLMs.
Proven track record of deploying production-grade AI solutions in the healthcare sector.
Hands-on experience with speech-to-text technologies (e.g., Whisper, Riva) and LLMs (e.g., GPT-4, Llama2).
Proficiency in Python and relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
Experience with cloud platforms (AWS/Azure) for deploying scalable AI pipelines.
Understanding of MLOps tools like MLflow or SageMaker
Familiarity with medical imaging and clinical datasets (structured and unstructured).
Knowledge of medical devices or clinical workflows is highly preferred.
Excellent communication skills to present technical findings to non-technical stakeholders.
Strong analytical thinking and problem-solving abilities.
Good to have skills: -
Speech-to-text: NVIDIA Riva, OpenAI Whisper, Azure Speech Services
LLMs: GPT-4 Turbo, Mistral Large, Claude
Cloud Platforms: AWS SageMaker, Azure ML Studio
NLP Tools: Hugging Face Transformers, spaCy
MLOps: MLflow, Docker