Machine Learning Engineer Job at Contingent Professionals, King of Prussia, PA

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  • Contingent Professionals
  • King of Prussia, PA

Job Description

 

Job 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:

  • 10+ years of experience in software development with at least  6 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.

Job Tags

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