JobFrame · AIMLAM.GEN.P2
Artificial Intelligence / Machine Learning (AI/ML) Engineer · General
P2 · P2 — Developing Professional · Individual contributor
Median pay · United States
$72,357
$56,843 – $92,106 · USD · annual · national base (function pricing in review)
Level position
P2 · 2 of 4 in track
Median pay
$72,357
$56,843–$92,106
Level
P2
P2 · 2 of 4 in track
Super-function
technology
Demand-heat
cool
10.1% growth
Summary
P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.
This level — P2 P2 — Developing Professional
Early-career professional; developing skills, handles routine tasks with some independence
Who does this work
An AI/ML Engineer who strives to push the boundaries of technology and create intelligent applications that positively impact industries and everyday life.
The problem this role solves
Organizations struggle to leverage the vast amounts of data they collect, leading to missed opportunities for optimization and innovation. They feel overwhelmed by the complexity of data analysis and the challenge of implementing effective AI/ML solutions. In a world driven by technology, the ability to harness data science is not just a benefit; it's a necessity for progress and competitiveness.
The transformation
Organizations make data-driven decisions that significantly improve productivity and efficiency. Innovative solutions lead to enhanced customer experiences and new revenue streams.
What's at risk
The project fails to address the real needs of the organization, leading to wasted resources. The developed solutions are not scalable or adaptable, resulting in stagnation and missed opportunities.
How the role wins
- Assess the specific needs and challenges faced by the organization.
- Utilize statistical modeling and machine learning techniques to analyze data and extract valuable insights.
- Develop and implement self-learning applications that can adapt and improve over time.
- Collaborate with cross-functional teams to ensure solutions align with business objectives.
- Monitor and refine models continuously to ensure they remain effective and relevant.
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