In the age of growing AI use, it’s important to grasp how it’s affecting jobs right now. In this post, we want to focus on the new roles that are emerging in the near future, including their potential salaries, expected growth, and ways to switch to these fields. If you are a business owner, job seeker or a recruiter, this article is a must-read for you.
Roles to watch
1. AI Model Trainers
Salary:
$90,000 – $120,000
Transition:
Data scientists and machine learning engineers, listen up. This role involves fine-tuning pre-trained models for specific business use cases.
Projection:
Up to 35% growth (Gartner)
Skills Needed:
Python, TensorFlow,
PyTorch, domain-specific knowledge
2. Data Engineers
Salary:
$90,000 – $130,000
Transition:
Data analysts and backend developers, your skills in SQL and data manipulation will serve you well here.
Projection:
45% job growth (Forbes)
Skills Needed:
SQL, Python,
ETL processes, data warehousing
3. MLOps Engineers
Salary:
$110,000 – $160,000
Transition:
DevOps professionals, this role combines your operational know-how with machine learning pipelines.
Projection:
30% growth (O’Reilly)
Skills Needed:
CI/CD, Docker,
Kubernetes, ML frameworks
4. Cloud Architects
Salary:
$120,000 – $180,000
Transition:
System admins and network architects, this role focuses on architecting cloud solutions optimized for AI workloads.
Projection:
22% growth (BLS)
Skills Needed:
AWS, Azure,
GCP, container orchestration
5. NLP Engineers
Salary:
$100,000 – $150,000
Transition:
Software engineers with a background in linguistics or a strong grasp of language models will excel in this role.
Projection:
N/A
Skills Needed:
NLP libraries, Python
TensorFlow, machine learning
Job Market Impact
Job Displacement
Existing roles like basic data analysts, standard DevOps, and system administrators will feel the heat. Upskilling is not an option; it’s a necessity.
Economic Outlook
Increased efficiency through AI could spur economic growth, but there’s a moderate risk of downturn due to initial job displacement.
The short-term landscape is an adapt-or-die scenario. The jobs listed above aren’t just buzzwords; they’re the immediate future of tech roles. Those who can transition and adapt will be well-positioned in an AI-integrated world.
