Developing AI/ML Engineer
AIMLAM.GEN.P2
P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.
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
- 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.
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 ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Machine Learning II | common | medium0.70 | — |
| Machine Learning 2 | common | medium0.66 | — |
| Deep Learning II | common | medium0.70 | — |
| Deep Learning 2 | common | medium0.66 | — |
| Statistical Modeling II | common | medium0.70 | — |
| Statistical Modeling 2 | common | medium0.66 | — |
| Developing AI/ML Engineer | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review