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    Pssm Generative Ai Practitioner

    Pfizer
    1+ years
    Not Disclosed
    Chennai
    10 Nov. 23, 2024
    Job Description
    Job Type: Full Time Education: PhD/M.Sc Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

    Generative AI Expert – Data Sciences, PSSM

    Pfizer is seeking a Generative AI Expert to join the Data Sciences organization within Pharmaceutical Sciences Small Molecules (PSSM) in Chennai, India. In this critical role, you will help drive Pfizer's digital transformation by leveraging generative AI technologies to improve the workflows and knowledge systems within PSSM. You will collaborate with various teams across Pfizer to implement AI-driven solutions for pharmaceutical development and manufacturing processes, aiming to enhance business outcomes and scientific decision-making.

    Key Responsibilities:

    1. AI Application to Pharmaceutical Sciences:

      • Understand the complexities of scientific fields (chemistry, physics, engineering) and identify opportunities for applying generative AI techniques to solve business challenges.
      • Curate and evaluate scientific documents and data sources to assess performance of large language models (LLMs) in generating domain-specific knowledge for pharmaceutical sciences.

    2. Development of Knowledge Extraction Pipelines:

      • Work closely with system/data engineers to build pipelines for knowledge extraction from a variety of data sources (text, images, video, and multimodal datasets) related to pharmaceutical sciences development and manufacturing.

    3. Model Research & Development:

      • Explore and evaluate transformer models (e.g., GPT, CLIP, ViT-YOLOs) for tasks including object content generation, computer vision, and image-text alignment.
      • Fine-tune models for domain-specific use, experiment with training strategies, and interpret results to improve model accuracy and efficiency.

    4. Advanced Insight Retrieval Techniques:

      • Apply advanced retrieval techniques like RAG, Langchain, Knowledge Graph Embeddings to improve the extraction of insights from unstructured pharmaceutical data, while integrating structured data, ontologies, and knowledge graphs.

    5. Collaboration and Stakeholder Engagement:

      • Share your findings and insights with internal stakeholders to influence business decisions and strategic direction.
      • Work with Pfizer Digital to deploy and monitor AI models in scalable environments, ensuring ongoing optimization through retraining.

    6. Continuous Learning & Upskilling:

      • Stay current with emerging AI technologies and industry trends to bring innovative solutions to PSSM.
      • Support the organization in upskilling on generative AI applications and foster a culture of continuous learning.

    Qualifications:

    Must-Have:

    • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
    • Proficiency with large-scale, structured, and unstructured datasets.
    • Strong knowledge of transformer architectures (e.g., GPT, GANs, VAEs, YOLOs) and generative AI techniques.
    • Experience with LLM training, fine-tuning, and prompt design.
    • Familiarity with insight retrieval techniques such as RAG, Langchain, Knowledge Graph Embeddings.
    • Proficiency in Python, ML/DL frameworks (e.g., PyTorch, TensorFlow).
    • Experience in MLOps/LLMops concepts (monitoring, retraining, versioning).
    • Strong problem-solving, research, and critical thinking skills.
    • Excellent communication, collaboration, and presentation abilities.

    Nice-to-Have:

    • Experience in AI applications within pharmaceutical sciences, chemical reactions, or chemical representations.
    • Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
    • Publications in major AI conferences or peer-reviewed journals.
    • Contributions to open-source NLP or computer vision projects.

    Work Location:

    • On-premise in Chennai, India.

    Additional Information:

    • Pfizer is an equal opportunity employer, adhering to all relevant legislation related to employment and diversity.

    Opportunity for Growth:

    This is a unique opportunity to contribute to the rapidly growing AI/ML ecosystem within Pfizer, directly impacting pharmaceutical research and development. The position offers an exciting chance for professionals with a strong background in AI/ML to further develop their skills and contribute to groundbreaking work in pharmaceutical sciences.

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