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ML Engineer c2c in recruitment – King of Prussia, PA – Hybrid Role

ML Engineer

Hi,

Hope you are doing well.                                                                                                                                  

Please go through the following requirement and let me know with your updated resume if you are comfortable.

 

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ML Engineer

King of Prussia, PA – Hybrid – Locals or Someone close by Preferred

Long term Contract

 

Role Description:

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team in King of Prussia, PA. The ideal candidate will have strong experience in software development, AI/ML applications, and deploying scalable machine learning models. This is an onsite role, offering an exciting opportunity to work on cutting-edge AI/ML solutions while collaborating with a talented team of engineers and researchers.

 

Responsibilities:

  • Design, develop, and deploy machine learning models and AI-driven solutions.
  • Optimize and fine-tune Large Language Models (LLMs) using LORA/QLORA techniques (e.g., GPT, BERT, etc.)
  • Implement and maintain scalable ML pipelines and model serving architectures.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing applications and workflows.
  • Develop and maintain RESTful APIs and microservices to support ML applications.
  • Work with AI/ML frameworks and libraries such as TensorFlow and PyTorch.
  • Ensure system reliability, scalability, and efficiency through strong system design principles.
  • Leverage cloud platforms (preferably Azure) to deploy and manage ML models and applications.
  • Stay updated with the latest advancements in AI/ML technologies and best practices.

 

Requirements:

  • 8+ years of experience in software development with at least 4 years of hands-on experience in AI/ML applications.
  • Proficiency in Python, Java, or C++ for developing machine learning models and applications.
  • Strong understanding of system design principles and scalable architectures.
  • Hands-on experience with RESTful APIs and microservices architecture.
  • Exposure to fine-tuning and deploying LLMs using LORA/QLORA techniques.
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Familiarity with cloud platforms (preferably Azure) for deploying AI/ML applications.

 

 

 

 

 

 

Thanks

Sathish Korapati

Technical Recruiter

Sathish@vhltec.com

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