25 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Honeywell | Lead AI Engr | Industrial | 9 | Agent orchestration · Agent research · Inference infra · Model serving · RAG · Vector DB · Multimodal · Guardrails · LLM observability |
| Cognite | Senior Machine Learning Engineer | Industrial | 8 | Vision · Multimodal · Model serving · Inference infra · RAG · Vector DB · LLM observability · Agent orchestration |
| Caterpillar | Lead Data Scientist - Gen AI & Digital Twin | Industrial | 8 | RAG · Inference infra · Model serving |
| Honeywell | Advanced AI Engr | Industrial | 8 | Agent orchestration |
| Honeywell | Advanced AI Engr | Industrial | 8 | Agent orchestration |
| Honeywell | Principal AI Engr | Industrial | 8 | RAG · Vector DB · Model serving |
| Honeywell | Advanced AI Engineer | Industrial | 8 | Agent orchestration · Agent research · RAG · LLM observability · Model serving · Inference infra |
| Caterpillar | Principal AI Engineer | Industrial | 8 | Agent orchestration · Model serving |
| Honeywell | Sr. Advanced AI Software Engineer | Industrial | 8 | Agent orchestration · RAG · Vector DB · Model serving |
| Honeywell | Sr Advanced AI Engr | Industrial | 8 | Agent orchestration · Tool use · Multimodal · Model serving · LLM observability |
| Cognite | Machine Learning Engineer | Industrial | 7 | Model serving · Inference infra · RAG · Vector DB · Agent orchestration |
| Caterpillar | Analyst Applications – ServiceNow Conversational & GenAI | Industrial | 7 | Agent orchestration · LLM observability · Guardrails · RAG · Model serving · Evals |
| Caterpillar | Senior Manager - Connectivity Data Analytics | Industrial | 7 | Agent orchestration · Evals · Guardrails · LLM observability · Model serving · Recommender systems · Multimodal |
| Caterpillar | Senior Analytics Manager - AI Model & Prompt Engineering | Industrial | 7 | Agent orchestration · Tool use · Evals · Guardrails · RAG · Vector DB · Model serving · Multimodal · Agent research |
| John Deere | Senior AI Engineer - Indaiatuba/SP | Industrial | 7 | Agent orchestration · RAG · LLM observability · Model serving |
| Caterpillar | Lead Software Engineer, Gen AI | Industrial | 7 | Agent orchestration · Tool use · RAG · Model serving · LLM observability |
| Honeywell | AI Engr II | Industrial | 7 | Model serving · Evals |
| Honeywell | Lead AI Engr | Industrial | 7 | Agent orchestration · Model serving · RAG · Vector DB |
| Caterpillar | Cat Digital/Cat Technology – Data Scientist/Technical Analyst | Industrial | 7 | Agent orchestration |
| Caterpillar | Lead Software Engineer, Gen AI | Industrial | 7 | Agent orchestration · Tool use · RAG · Model serving · LLM observability |
| Caterpillar | 状态监测、数据与 AI 实习生 | Industrial | 7 | Agent orchestration · LLM observability |
| Caterpillar | 视觉算法部署实习生 | Industrial | 7 | Vision · Inference infra · Model serving |
| Caterpillar | Junior GenAI Engineer | Industrial | 7 | Agent orchestration · RAG · Model serving · LLM observability |
| Honeywell | Advanced Data Scientist | Industrial | 7 | RAG · LLM observability · Model serving · Vector DB |
| Honeywell | AI Engr II | Industrial | 7 | Model serving |
Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods. Primary AI lifecycle stage: post-training.
1,893 active AI roles across 204 companies in our index reference Fine-tuning as of today. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).
The companies with the most active Fine-tuning listings are: Amazon (235 roles), Capital One (127 roles), Google (98 roles), JPMorgan Chase (86 roles), NVIDIA (77 roles).
Fine-tuning primarily belongs to the post-training stage of the AI lifecycle. In current hiring, Fine-tuning roles concentrate at: agents (44%), post-training (26%).
The sectors with the most active Fine-tuning hiring are: Big Tech, Enterprise, Banking.
Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods.
Primary AI lifecycle stage: post-training.
As of today, 1,893 active AI roles across 204 companies in our index reference Fine-tuning. Hiring concentrates at the agents (44%) and post-training (26%) stages. Most common sectors: Big Tech, Enterprise, Banking. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).