Jobs and career pathways
AI & ML Certification Prep jobs, salary benchmarks, and career pathways
Because this page spans multiple vendor paths, the salary section is best grounded in broad AI and technical-role benchmarks rather than one provider-specific marketing claim.
Updated August 23, 2026
Where this exam tends to lead
This cluster is oriented around related jobs and career pathways. The role targets below are the main search patterns this jobs page is built around.
This page is built around related job searches now, with room for richer direct-ingestion job feeds later.
AI and ML salary benchmarks
Because this page spans multiple vendor paths, the salary section is best grounded in broad AI and technical-role benchmarks rather than one provider-specific marketing claim.
| Role / benchmark | Pay | Why it matters |
|---|---|---|
| Data scientists | $112,590 median annual wage | Strong broad benchmark for AI and ML career paths BLS Data Scientists |
| Data scientist job outlook | 34% projected growth from 2024 to 2034 | Shows why applied AI and ML skills still have strong labor-market pull BLS Data Scientists |
| Computer and information technology occupations | $105,990 median annual wage | Broad benchmark for technical careers where ML certification can become a differentiator BLS Computer and Information Technology Occupations |
Search live openings now
Anchor cert facts across the AI/ML cluster
| Fact | Current detail | Source |
|---|---|---|
| Google Cloud anchor exam | Professional Machine Learning Engineer is a Google Cloud certification focused on designing, training, building, deploying, and operationalizing secure ML applications | Google Cloud Professional ML Engineer |
| Google exam timing | Google has described the Professional Machine Learning Engineer exam as a two-hour exam | Google Cloud launch post |
| AWS anchor exam | AWS Certified Machine Learning - Specialty targets candidates with 2 or more years of experience developing, architecting, and running ML or deep learning workloads in AWS | AWS Machine Learning Specialty page |
| AWS domain structure | The specialty exam guide lists four domains: Data Engineering 20%, Exploratory Data Analysis 24%, Modeling 36%, and Machine Learning Implementation and Operations 20% | AWS exam guide |
| Microsoft anchor exam | Azure AI Engineer Associate centers on Exam AI-102 and its official study guide | Microsoft Azure AI Engineer certification page |
| Microsoft transition note | The current AI-102 study guide says the exam retires on June 30, 2026 | Microsoft AI-102 study guide |
| Cluster reality | This is best approached as a platform-choice problem first, then an exam-prep problem second | Google, AWS, and Microsoft official certification pages |
Fetched job listings
These listings come from the latest automated jobs update run. If a board blocks or limits retrieval, use the live search links above.
6 listings captured
The Muse
Licensed Insurance Sales Representative (Remote / Home-Based)
Allstate
Flexible / Remote
The Muse
(USA) Tire and Battery Service Advisor
Walmart
Eau Claire, WI
The Muse
Café Associate
Walmart
Clive, IA
The Muse
Maintenance Custodian Associate
Walmart
Ellicott City, MD
The Muse
Retail Customer Service Associate
Walmart
El Paso, TX
The Muse
PRODUCE/CLERK
Kroger
Bowling Green, OH
Official resources
Official Google Cloud page for the anchor machine learning engineer certification path.
Official AWS overview for the specialty-level ML exam and candidate profile.
Official domain weightings and content outline for AWS ML Specialty.
Official Microsoft certification page for the Azure AI engineer path.
Official AI-102 topic guide and current retirement note.
External resources and benchmarks
Grounds the AI/ML value proposition in neutral salary and growth data.
Useful when you need to compare the ML engineer path with adjacent Google Cloud certs.
Questions people ask before choosing this path
Is this page for one exam or several?
Several. This SimpuTech cluster covers the main Google, AWS, and Microsoft AI/ML certification directions because many candidates are deciding between platforms before they commit to one exam.
Which path is best for beginners?
Usually none of these if you are brand new to cloud and ML. This cluster works best for people who already have some technical base and need to choose the most strategic vendor path.
Should I still study AI-102 if it retires on June 30, 2026?
Only if you are testing before that date or you have a near-term reason to finish the current path. Otherwise, you should expect Microsoft’s next-version exam path to matter more.
What should I do after the quiz?
Decide which vendor path you are actually pursuing, then open the matching article first and use the tutor to drill the platform-specific concepts instead of mixing all three ecosystems at once.