Company:
The Dignify Solutions, LLC
Location: Raritan
Closing Date: 16/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
7+ years of experience in Solution Architecture or Lead cloud Engineering position with at least 2+ years of previous work experience with Generative AI
Gen AI Architect, Cross Cloud experience (AWS+ GCP+Azure)
Generative AI Design patterns, technical architecture & define best practices
Advanced NLP techniques and deep learning methodologies
Current understanding of LLMs and their use
Ability to define target state technology architecture and roadmaps.
Practical experience in training & inferring from LLMs, including quantization & prompt engineering.
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.
Involvement with the open-source AI community is a plus.
Familiarity with Client Environment, Drug Development and Pharmaceutical R&D is advantageous.
7+ years of experience in Solution Architecture or Lead cloud Engineering position with at least 2+ years of previous work experience with Generative AI
Gen AI Architect, Cross Cloud experience (AWS+ GCP+Azure)
Generative AI Design patterns, technical architecture & define best practices
Advanced NLP techniques and deep learning methodologies
Current understanding of LLMs and their use
Ability to define target state technology architecture and roadmaps.
Practical experience in training & inferring from LLMs, including quantization & prompt engineering.
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.
Involvement with the open-source AI community is a plus.
Familiarity with Client Environment, Drug Development and Pharmaceutical R&D is advantageous.
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