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Machine Learning Practitioner – Applied LLM/ Gen AI/ GCP – Up to $210,000 – Hybrid


Role Description

Working with a Private Equity portfolio company, you will be part of a special task team focused on building, testing and scaling applications of Generative AI and analytics to improve revenue, product features and efficiencies across the company.


  • Refining use-cases,
  • Selecting resources needed (ML Ops, governance, compute instances, pipelines, storage, etc)
  • Analyse and pre-process data if necessary,
  • Building pipelines,
  • Choosing foundation models,
  • Fine-tuning and/or pre-training models,
  • Deploying and testing proofs of concept
  • Demonstrable hands-on knowledge of applied generative AI models, mainly in text, knowledge classification and recommendation engines
  • 1+ years Experience fine-tuning and/or pre-training Large Language Models for customised applications, applying this knowledge to practical scenarios,
  • 5+ years Experience working with GCP (Google Cloud Platform) building Machine Learning applications and deploying cloud resources in a production environment.
  • Knowledge of ML ops frameworks
  • Proficient with Python or R as well as relevant frameworks (Keras, PyTorch)
  • Experience in Gen AI


  • Flexible, curious, and ambitious
  • Good communicator
  • Eagerness to learn new techniques, solve problems and contribute in a team environment

Job Description

  • Hybrid: Texas, Austin
  • Salary: Up to $210,000 + Benefits + Bonus

How do I Apply?

For more information or to apply for the Machine learning position, please email barbara@digitalrepublictalent.com or you can apply through www.digitalrepublictalent.com. You can also visit our Vacancy page to see other opportunities.

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