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P2
AIMLAM.GEN.P2
Developing AI/ML Engineer
Artificial Intelligence / Machine Learning (AI/ML) Engineer

Developing AI/ML Engineer

AIMLAM.GEN.P2

P2P2 — Developing Professionalmedium0.70draftglobalv1

P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.

Level
P2 · P2 — Developing Professional · 1–3 yrs
Function · Focus
Artificial Intelligence / Machine Learning (AI/ML) Engineer · General
Market pay (median)
Pay basis
model pending

P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.

The story of this role

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

  • The external problem: Organizations struggle to leverage the vast amounts of data they collect, leading to missed opportunities for optimization and innovation.
  • The internal problem: They feel overwhelmed by the complexity of data analysis and the challenge of implementing effective AI/ML solutions.
  • Why it matters: 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 plan

  1. Assess the specific needs and challenges faced by the organization.
  2. Utilize statistical modeling and machine learning techniques to analyze data and extract valuable insights.
  3. Develop and implement self-learning applications that can adapt and improve over time.
  4. Collaborate with cross-functional teams to ensure solutions align with business objectives.
  5. Monitor and refine models continuously to ensure they remain effective and relevant.

What's at stake

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.

Success looks like

Organizations make data-driven decisions that significantly improve productivity and efficiency. Innovative solutions lead to enhanced customer experiences and new revenue streams.

Summary

P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.

Level — P2 — Developing Professional

Early-career professional; developing skills, handles routine tasks with some independence

Scope
Defined deliverables / small features
Autonomy
General supervision; reviewed at milestones
Complexity
Some non-routine problems; applies established patterns
Impact
Own and immediate-team deliverables
Decision rights
Routine technical choices within guidance
Leadership
May guide interns
Typical experience
1–3 yrs

Core outputs

No core outputs recorded yet.

Adjacent roles

Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →

Componentsshow ▾

Responsibilities8

  • Training and evaluating a new model with moderate guidancecommonlevel
  • Developing parts of an ML pipelinecommonlevel
  • Improving an existing model by tuning hyperparameterscommonlevel
  • Conducting data analysis to inform model developmentcommonlevel
  • Collaborating with cross-functional teamscommonlevel
  • Documenting and presenting findingscommonlevel
  • Contributing to project planning and executioncommonlevel
  • Maintaining and updating existing modelscommonlevel

Tasks3

  • Train and evaluate modelscommonlevel
  • Develop ML pipeline componentscommonlevel
  • Tune model hyperparameterscommonlevel

Skills8

  • Model training and evaluationcommonlevel
  • Hyperparameter tuningcommonlevel
  • Data analysiscommonlevel
  • Pipeline developmentcommonlevel
  • Technical documentationcommonlevel
  • Cross-functional collaborationcommonlevel
  • Project managementcommonlevel
  • Advanced Python programmingcommonlevel

Knowledge8

  • Advanced machine learning techniquescommonlevel
  • Data pipeline architecturecommonlevel
  • Model evaluation metricscommonlevel
  • AI/ML frameworks (e.g., TensorFlow, PyTorch)commonlevel
  • Statistical modelingcommonlevel
  • Data-driven decision makingcommonlevel
  • Software development best practicescommonlevel
  • Emerging AI technologiescommonlevel

competency8

  • Limited supervisioncommonlevel
  • Independent judgmentcommonlevel
  • Problem-solvingcommonlevel
  • Analytical thinkingcommonlevel
  • Technical writingcommonlevel
  • Collaborationcommonlevel
  • Adaptabilitycommonlevel
  • Continuous learningcommonlevel

qualification3

  • 2–5 years experience or 1–2 years with a Master’scommonlevel
  • Experience with real production datacommonlevel
  • Proficiency in AI/ML tools and techniquescommonlevel
Title aliasesshow ▾
AliasTypeConfidenceApproved
Machine Learning IIcommonmedium0.70
Machine Learning 2commonmedium0.66
Deep Learning IIcommonmedium0.70
Deep Learning 2commonmedium0.66
Statistical Modeling IIcommonmedium0.70
Statistical Modeling 2commonmedium0.66
Developing AI/ML Engineercommonmedium0.50
Classification mappingsshow ▾

O*NET / SOC

  • code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review