New AI postings mentioning Research-to-Production Pipeline per week — 116 total over 12 weeks.
148 active AI roles across 60 companies mention Research-to-Production Pipeline. Category: ML Ops & Evaluation.
Research-to-Production Pipeline is a skill in the "ML Ops & Evaluation" category. It currently appears in 148 active AI roles across 60 companies in our index.
The top employers with active AI roles mentioning Research-to-Production Pipeline are: OpenAI (16), NVIDIA (13), Amazon (8), Microsoft (7), JPMorgan Chase (7).
Over the last 12 weeks, 116 new AI postings mentioned Research-to-Production Pipeline. Demand is rising — up 121% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Research-to-Production Pipeline are concentrated in: agents (52%), application (22%), serving infrastructure (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention Research-to-Production Pipeline most often also require: Machine Learning, Content Generation, Python, Agentic Systems, System Design.
4 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| Adobe | Senior Director, Product Management | Enterprise | 8 | L4 |
| Autodesk | Senior Product Manager, Media & Entertainment AI Platform | Enterprise | 7 | L4 |
| Adobe | Principal Product Manager - Firefly Foundry Studio | Enterprise | 7 | L6 |
| Datadog | Senior Platform Product Manager - AI SDLC Trusted Throughput | Enterprise | 7 | L4 |