Description:
Fine-tune open-source SLMs (e.g., Gemma, LLaMA, Mistral) using curated enterprise datasets. Apply techniques such as Supervised Fine-Tuning (SFT), LoRA, and other PEFT methods. Operate across Google Cloud Platform environments, leveraging tools like Vertex AI, BigQuery, and Cloud Storage. Collaborate with data engineering teams to ensure high-quality, structured training datasets. Optimize model performance for accuracy, latency, and cost-efficiency. Package and validate models for deployment in
Nov 3, 2025;
from:
dice.com