Join our innovative team at Silex Data Solutions as a Large Language Model Developer/Machine Learning Engineer. If you are passionate about pushing the boundaries of natural language processing (NLP) and developing state-of-the-art language models, this role is perfect for you. At Silex, we are dedicated to leveraging generative AI to revolutionize healthcare revenue cycle management solutions. As a Language Model Developer/Machine Learning Engineer, you will be at the forefront of developing cutting-edge language models and deploying them efficiently. 


  • Develop and fine-tune advanced language models using HuggingFace Transformers, PEFT (Parameter-Efficient Fine-Tuning), and TRL (Transformer Reinforcement Learning) 
  • Implement efficient model training and deployment strategies using PyTorch, HuggingFace Accelerate, quantization libraries, and NVIDIA Triton Inference Server 
  • Collaborate with cross-functional teams to integrate language models into healthcare applications and optimize their performance 
  • Stay up-to-date with the latest advancements in NLP, experiment with emerging techniques, and contribute to the development of novel algorithms and architectures 

 Basic Qualifications: 

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field 
  • At least 3 years of experience in developing and deploying deep learning models, particularly in NLP 
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow 

Preferred Qualifications: 

  • Experience in developing and fine-tuning large language models using HuggingFace Transformers or similar libraries 
  • Hands-on experience with PEFT techniques for efficient model fine-tuning and adaptation 
  • Knowledge of text retrieval and ranking techniques, such as TRL or dense passage retrieval 
  • Experience with distributed training and optimization techniques using frameworks like HuggingFace Accelerate 
  • Familiarity with deploying models using NVIDIA Triton Inference Server or similar model serving platforms 
  • Prompt engineering techniques for synthetic data generation and experience curating training/evaluation datasets w/ human feedback for further fine-tuning & model alignment 


Please note that this is a direct-hire opportunity only; we are not considering candidates for corp-to-corp arrangements or offshore partnerships at this time. 

Silex offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status. 

Silex Data Solutions, a high-growth, privately owned systems integrator operated business based in Tennessee, is at the cutting-edge of IT innovation. Our team, comprising seasoned IT veterans, takes a holistic approach to technology, focusing on Business Processes and IT Automation. We are dedicated to Research & Development, constantly pushing the boundaries to provide efficient, cost-effective solutions that maximize ROI for our clients. Our unique delivery methodology ensures a deep understanding of client needs, offering opportunities for education and empowerment in new IT initiatives. At Silex, we not only commit to technological advancement but also to the growth and development of our team, providing a dynamic environment where technical skills can flourish and career opportunities abound. 

Job Category: Information Technology Software Engineering
Job Location: US

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