Data & AI · observed market
ML & AI Platform jobs and hiring requirements
Data engineering, analytics, machine learning, and AI research. Counts are derived from employer-published vacancies; current roles use a 30-day observation window and older still-published listings are shown separately.
What the work involves
ML and AI platform roles make model and application delivery reproducible and operable. Responsibilities can include training pipelines, model registries, serving, evaluation infrastructure or developer tooling. Distinguish the platform's boundary from modelling work and explain how researchers or product teams use the systems you build.
Reference for this specialty ↗Useful application evidence
- Data, artifact and model-version lineage
- Release validation, promotion and rollback
- Serving or pipeline reliability under a realistic workload
What this role market shows
Freshness
45%
of still-published listings are in the current observation window
Most visible technology
AI
69 current vacancy mentions
Leading location
United States
16 current role mentions
Evidence mix
Top technologies by requirement tier
Counts are mentions in current vacancies. One vacancy may mention several technologies.
Requirement evidence
Technologies employers ask for in ML & AI Platform
AI
69 current roles
Python
57 current roles
Machine Learning
48 current roles
Cloud
45 current roles
CI/CD
39 current roles
AWS
38 current roles
Scalability
36 current roles
DevOps
31 current roles
LLM
31 current roles
Kubernetes
29 current roles
MLOps
29 current roles
Automation
28 current roles
Current market
Latest current vacancies
Software Engineer, Data and AI Platform
DoorDash · San Francisco, California, United States; Sunnyvale, California, United States
Machine Learning Operations Developer, AI/ML Platform
Autodesk · Toronto, ON, Canada; Montreal, QC, Canada; Remote — Canada
Principal Machine Learning Platform Engineer, Foundation AI
Roblox · San Mateo, California, United States
AI Platform, Backend Software Engineer
Claroty · Israel
Senior Software Engineer, AI Platform
Google · Hyderabad, Telangana, India
Software Engineer, Machine Learning Platform - MDX
DoorDash · San Francisco, California, United States; Sunnyvale, California, United States; Seattle, Washington, United States
Software Engineer, Machine Learning Platform - Gen AI
DoorDash · San Francisco, California, United States; Sunnyvale, California, United States; Seattle, Washington, United States
Principal AI Platform Engineer (Lead Architect)
SentinelOne · Poland
Senior MLOps Engineer (#5860)
N-iX · Azerbaijan; Georgia; Turkey; Ukraine
Senior AI Platform Engineer
Riskified · Lisbon, Portugal
Work formats
Seniority
Evidence route
How this role market is assembled
Employer-published vacancies are classified by specialty. Current demand is kept apart from older still-published listings; employer, technology and location views come from that same cached role snapshot.
Illustrative process diagram. The charts above show the actual counts for ML & AI Platform.
Still published by employers
Long-running source-active roles
These listings remain on their publishers’ career sites but are older than the current-market window. They remain discoverable without inflating fresh-demand totals.
Sr. Staff Software Engineer (AI Platform)
Palo Alto Networks · Santa Clara, California, United States
Senior AI Platform Engineer
EPAM · Brazil; Colombia; Mexico
Senior/Lead DevOps + MLOps Engineer
DXC Luxoft · Hyderabad, India
Senior Principal Engineer, AI/ML Platform
Autodesk · San Francisco, California, United States
Cloud Service Engineer for BAIP (Business AI Platform)
SAP · Sofia, Bulgaria
Cloud Service Engineer for BAIP (Business AI Platform)
SAP · Sofia, Bulgaria
Graph-linked family