The Dignify Solutions, LLC
Overview
Be among the first 25 applicants for a Solutions Architect / Lead Cloud Engineering role with Generative AI experience. Location: Edison, NJ. Salary: $120,000.00-$170,000.00. Posted 1 month ago. Responsibilities
Define target state technology architecture and roadmaps. Prototype innovative GenAI solutions. Train and infer from LLMs, including quantization and prompt engineering. Work with data structures, algorithms, and software engineering principles. Leverage big data platforms such as Snowflake and Databricks. Work with cloud compute environments (GCP/AWS/Azure) and cloud-native tools. Create APIs with FastAPI, Flask, etc., and be familiar with Streamlit or similar tools. Develop applications using Python, PyTorch, TensorFlow, or Keras. Demonstrate ability to prototype GenAI solutions. Engage with the open-source AI community (a plus). Understand Generative AI design patterns, technical architecture, and define best practices. Apply advanced NLP techniques and deep learning methodologies. Maintain current understanding of LLMs and their use. Qualifications
7+ years of experience in Solution Architecture or Lead Cloud Engineering with at least 2+ years in Generative AI. Ability to define target state technology architecture and roadmaps. Practical experience in training and inferring from LLMs, including quantization and 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) and 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. Pharmaceutical R&D is advantageous. Generative AI design patterns, technical architecture & define best practices. Advanced NLP techniques and deep learning methodologies. Current understanding of LLMs and their use. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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Be among the first 25 applicants for a Solutions Architect / Lead Cloud Engineering role with Generative AI experience. Location: Edison, NJ. Salary: $120,000.00-$170,000.00. Posted 1 month ago. Responsibilities
Define target state technology architecture and roadmaps. Prototype innovative GenAI solutions. Train and infer from LLMs, including quantization and prompt engineering. Work with data structures, algorithms, and software engineering principles. Leverage big data platforms such as Snowflake and Databricks. Work with cloud compute environments (GCP/AWS/Azure) and cloud-native tools. Create APIs with FastAPI, Flask, etc., and be familiar with Streamlit or similar tools. Develop applications using Python, PyTorch, TensorFlow, or Keras. Demonstrate ability to prototype GenAI solutions. Engage with the open-source AI community (a plus). Understand Generative AI design patterns, technical architecture, and define best practices. Apply advanced NLP techniques and deep learning methodologies. Maintain current understanding of LLMs and their use. Qualifications
7+ years of experience in Solution Architecture or Lead Cloud Engineering with at least 2+ years in Generative AI. Ability to define target state technology architecture and roadmaps. Practical experience in training and inferring from LLMs, including quantization and 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) and 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. Pharmaceutical R&D is advantageous. Generative AI design patterns, technical architecture & define best practices. Advanced NLP techniques and deep learning methodologies. Current understanding of LLMs and their use. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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