Senior Machine Learning Engineer

Hybrid in Dallas, TX, US • Posted 13 hours ago • Updated 13 hours ago
Full Time
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon SageMaker
  • Flask
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Python
  • LangChain
  • LlamaIndex

Summary

We do H1b transfer too.. 

The role is with our direct/end client on W2 only.

To skills:

The Expertise and Skills You Bring

  • Solid 10+ years hands on development as Machine Learning Engineer.
  • Strong programming skills in Python and Java.
  • Experience with working on Gen AI solutions with Large Language Models, LangGraph,  LangChain, LlamaIndex, Prompt Engineering and Fine tuning. 
  • Solid experience with developing python-based APIs needed (FastAPI / Flask).
  • Design and develop machine learning and deep learning systems using ML (Machine Learning) algorithms / frameworks.
  • Evaluate the LLM generated contents
  • Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
  • Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.  
  • Run machine learning tests and experiments. 
  • Bachelor’s Degree or equivalent experience.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10227485
  • Position Id: 8937058
  • Posted 13 hours ago
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