Pssm Generative Ai Practitioner

8 months ago

Chennai Tamil Nadu, India Pfizer Full time

Why Patients Need You

Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is flexible, innovative, and customer oriented. Whether you are involved in development, maintenance, compliance or analysis through research programs, your contribution will directly impact patients.

ROLE SUMMARY

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
- Master's Degree or PhD (preferred) 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: On Premise

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Research and Development

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