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 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!

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