
Pssm Generative Ai Practitioner
5 days ago
ROLE RESPONSIBILITIES
- Curate scientific information, experimental record, or other relevant PSSM documents and sources to evaluate LLM performance for pharmaceutical sciences domain-specific knowledge generation.
- Work with system/data engineers and partner lines to build knowledge extraction pipelines across PharmSci development and manufacturing data modalities (e.g., from text documents, images, video, and multimodal datasets).
- Explore transformer models (e.g., GPT, CLIP, ViT-YOLOs) for various tasks, including object content generation, computer vision, and image-text alignment. Evaluate model performance, interpret results, experiment with various training strategies and domain-specific fine-tuning to improve accuracy and efficiency.
- Share findings with stakeholders to improve business decisions and/or influence strategic direction.
- Partner with Pfizer Digital to deploy and maintain AI models in scalable production environments. Monitor model performance, retrain, and optimize models.
- Stay abreast with the latest technologies and industry trends to identify opportunities for enhanced performance and innovation.
QUALIFICATIONS
- BS or Master's Degree in Computer Science, Artificial Intelligence, or a related field.
- Ability to work effectively with large-scale, structured, and unstructured datasets.
- Proficient in prompt design, vector representations and vector databases.
- Solid understanding of transformer architectures, their variations, and generative AI techniques (GANs, VAEs, YOLOS, GPT, etc.).
- Experience with RAG, Langchain, Knowledge Graph Embeddings, and other insight retrieval techniques.
- Proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow)
- Experience in MLOps/LLMops concepts (monitoring, retraining, versioning).
- Strong problem-solving, analytical, research and critical thinking skills.
- Excellent communication, collaboration, and presentation skills.
- Experience with cloud platforms like AWS, Azure, or Google Cloud (preferred but not mandatory).
- Publications at major AI conferences or peer-reviewed journals (preferred but not mandatory).
- Contributions to open-source NLP or computer vision projects (preferred but not mandatory).
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
LI-PFE
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