7+ years of experience in Solution Architecture or Lead cloud Engineering position with at least 2+ years of previous work experience with Generative AI
Ability to define target state technology architecture and roadmaps.
Practical experience in training & inferring from LLMs, including quantization & prompt engineering.
Strong knowledge of data structures, algorithms, and software engineering principles
Experience with big data platforms such as Snowflake and Databricks
Expert with cloud compute environments (GCP/AWS/Azure) along with cloud-native tools
Proficient in API creation with FastAPI, Flask, etc., and familiar with Streamlit or similar tools.
Skilled in applications (Python, PyTorch, TensorFlow, or Keras).
Demonstrated ability to prototype innovative GenAI solutions.
Adaptable to new technologies, diverse use cases, partner types, and settings.
Involvement with the open-source AI community is a plus.
Familiarity with J&J Environment, Drug Development and Pharmaceutical R&D is advantageous.
Skills and competencies
Generative AI Design patterns, technical architecture & define best practices
Advanced NLP techniques and deep learning methodologies
Current understanding of LLMs and their use
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