Skill
LLM Fine-Tuning
Data Science, Analytics and AI/ML
LLM fine-tuning is the process of further training a pre-trained large language model on a smaller, task-specific dataset to improve its performance on particular domains or behaviors. Machine learning engineers use fine-tuning to customize models for specialized applications, such as legal document analysis or customer support, without training a model from scratch.
Open roles requiring LLM Fine-Tuning (2)
Principal Product Manager, AI Platform
Angi
Full-time · Remote - United States · $190,000 – $280,000
This role leads product strategy for an internal AI platform that serves as the central gateway for all model and agent workloads across the company, managing cost attribution, quality evaluation, and governance. It suits experienced technical product managers who understand infrastructure-as-a-product and want to shape how a large organization scales generative AI from experimental to production systems.
Listed on Angi’s careers site · Apply there ↗
Senior AI Engineer
Talkspace
Full-time · Remote · $169,000 – $200,000
This role leads the development of autonomous AI agents that support Talkspace's mental health platform, focusing on multi-agent systems, reinforcement learning, and large language model integration. It suits experienced machine learning engineers who want to apply advanced AI techniques to real-world behavioral health challenges with a strong emphasis on safety and ethical deployment.
Listed on Talkspace’s careers site · Apply there ↗
Roles that use LLM Fine-Tuning
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.