Demo

DATA SCIENCE / LEAD DATA SCIENCE II Full Time II 100 % Remote II

SPAR Information Systems LLC
Houston, TX Remote Full Time
POSTED ON 12/14/2024
AVAILABLE BEFORE 5/31/2025

Hello All,

Hope you all are doing well

Please let me know if you are looking for the job change and interested in the below position

 

Requirement # 1 

 

Role: Data Science Engineer

Location: Remote

Duration: Full time only

 

Job Description:

Required Skills:

  • 3 years of machine learning or AI development, preferably in healthcare insurance / customer service / call center setting
  • A strong grasp of large language models (LLMs), their architecture, training techniques, and optimization for various applications.
  • Commercial experience in developing and deploying LLM solutions using techniques such as advanced prompt engineering, RAG, vector embeddings and LLM compression.
  • Experience with both commercial LLMs (GPT-4 , Claude-2, etc) and open-source LLMs (Llama-2, etc).
  • Ability to find, understand and experiment with new research in the generative AI space.
  • Familiarity with tools/platforms like AWS Bedrock, Anthropic and an understanding of their core principles and applications, is highly valued.
  • Solid foundation in algorithms, and statistical models relevant to deep learning and AI.
  • Proficient programming skills in Python, with a focus on writing clean, efficient, and robust code for AI applications.
  • Independent work ethic with the ability to lead research and development efforts within the team.
  • Good communication skills, both written and verbal, in English, to collaborate effectively with a global team.
  • Experience with Agile working model & project management tools and methodologies


Requirement # 2

 

Role: LEAD Data Science Engineer

Location: Remote

Duration: Full time only

 

Job Description:

Required Skills:

  • 5 years of machine learning or AI development, preferably in healthcare insurance / customer service / call center setting
  • A strong grasp of large language models (LLMs), their architecture, training techniques, and optimization for various applications.
  • Commercial experience in developing and deploying LLM solutions using techniques such as advanced prompt engineering, RAG, vector embeddings and LLM compression.
  • Experience with both commercial LLMs (GPT-4 , Claude-2, etc) and open-source LLMs (Llama-2, etc).


 

Regards,

Parul Bobal

Senior Technical Recruiter

SPAR Information Systems

Plano, Texas, TX 75024, USA

https://www.sparinfosys.com/

E-mail: Parul.Bobal@sparinfosys.com

Direct Number : 4693310465 

 

 

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