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.

Requirements

• 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

Skills

• 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.