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).
64 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Target | Lead Data Scientist- Comp Intel | Retail | 9 | Agent orchestration · Tool use · RAG · Vector DB · LLM observability · Guardrails · Agent research |
| Target | Lead Engineer - GenAI | Retail | 9 | Agent orchestration · Agent research · Tool use · LLM observability · RAG · Inference infra · Model serving · Synthetic data |
| Walmart | Senior Data Scientist: Associate AI Experience | Retail | 9 | Agent orchestration · Tool use · Evals · RAG · Vector DB · Model serving · LLM observability |
| Walmart | Principal Data Scientist: Associate AI experience | Retail | 9 | Agent orchestration · Tool use · Evals · RAG · Vector DB · Model serving · Multi-agent |
| Walmart | Distinguished Data Scientist: Associate AI Experience | Retail | 9 | Agent orchestration · Tool use · Evals · RAG · Vector DB · Model serving · Multi-agent |
| Walmart | (USA) Distinguished, Data Scientist | Retail | 9 | Agent orchestration · Agent research · Tool use · Evals · RAG · Vector DB · Model serving · Multimodal |
| Walmart | Distinguished, Software Engineer -AI/ML Engineer- Walmart Connect | Retail | 9 | Agent orchestration · Tool use · Multimodal · RAG · Vector DB · Inference infra · Model serving · RL post-training · Agent research · LLM observability · Guardrails |
| Walmart | Staff, Data Scientist – Conversational AI | Retail | 9 | Agent orchestration · Tool use · Evals · Guardrails · RAG · Model serving · LLM observability |
| Walmart | Principal, Data Scientist -- Agentic AI | Retail | 9 | Agent orchestration · Tool use · LLM observability · RAG · Model serving · Agent research · Multimodal · Vision · Code gen |
| Target | Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops) | Retail | 8 | Agent orchestration · LLM observability · RAG · Model serving · Agent research |
| Target | Sr. Data Scientist | Retail | 8 | Search & ranking · Recommender systems · RAG · Agent orchestration · Tool use · Guardrails · Model serving · Inference infra |
| Walmart | Staff, Data Scientist | Retail | 8 | Vector DB · Forecasting |
| Target | Lead Data Scientist- AML | Retail | 8 | Multimodal |
| Walmart | Senior, Data Scientist (Machine Learning Engineer) | Retail | 8 | Model serving · Inference infra · Multimodal · RAG · Vector DB |
| Walmart | (IND) SENIOR, DATA SCIENTIST | Retail | 8 | Vision · Multimodal · Model serving |
| Walmart | Distinguished, Data Scientist | Retail | 8 | Guardrails · RAG · Vector DB · Model serving |
| Walmart | Senior, Data Scientist | Retail | 8 | Multimodal · RAG · Model serving |
| Walmart | Staff, Data Scientist | Retail | 8 | Agent orchestration |
| Walmart | (USA) Senior Manager, Data Science | Retail | 8 | Agent orchestration · RAG · LLM observability · Agent research |
| Walmart | (USA) Staff, Data Scientist | Retail | 8 | Agent orchestration · RAG · Model serving · Inference infra · LLM observability |
| Walmart | Staff, Software Engineer | Retail | 8 | Agent orchestration · Agent research · Multimodal · RAG · Model serving · LLM observability |
| Walmart | (USA) Staff, Data Scientist | Retail | 8 | Multimodal · Model serving |
| Walmart | Staff, Data Scientist | Retail | 8 | LLM observability · RAG · Vector DB · Model serving · Multimodal |
| Walmart | Staff, Software Engineer | Retail | 8 | Agent orchestration · RAG · Vector DB · Model serving |
| Walmart | Principal, Data Scientist :Generative AI (3D & Multi-Modal) | Retail | 8 | Multimodal · Model serving · Synthetic data |
| Walmart | Senior, Data Scientist | Retail | 8 | Evals · Vision · Multimodal · RLHF · Reward modeling |
| Walmart | Principal, Software Engineer – GenAI Initiative | Retail | 8 | RAG · Agent orchestration · Model serving · Vector DB · Multimodal |
| Target | Sr Data Scientist - Advanced Machine Learning | Retail | 8 | Multimodal · LLM observability · RAG · Vector DB |
| Walmart | Senior Data Scientists, Conversational AI | Retail | 8 | Evals · Multimodal · Model serving |
| Walmart | Staff Data Scientists, Conversational AI | Retail | 8 | Agent orchestration · Model serving · Multimodal · LLM observability |