Entry-Level AI/ML Engineer
AIMLAM.GEN.P1
P1 is an entry-level position for AI/ML, often a recent graduate or someone with less than 2 years of experience.
P1 is an entry-level position for AI/ML, often a recent graduate or someone with less than 2 years of experience.
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
P1 is an entry-level position for AI/ML, often a recent graduate or someone with less than 2 years of experience. They require close guidance and mentorship to perform tasks.
Level — P1 — Entry-Level Professional
New to role or field; performs basic tasks under supervision
- Scope
- Own tasks within a defined component
- Autonomy
- Close supervision; work reviewed frequently
- Complexity
- Routine problems with known solutions
- Impact
- Own deliverables
- Decision rights
- Few independent decisions; escalates the rest
- Leadership
- None — building the craft
- Typical experience
- 0–2 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
- Implementing small components of ML models or data pipelinescommonlevel
- Writing unit tests for an ML code modulecommonlevel
- Cleaning and labeling data under supervisioncommonlevel
- Assisting in the development of AI algorithmscommonlevel
- Participating in code reviews and team meetingscommonlevel
- Documenting code and processescommonlevel
- Collaborating with team members on project taskscommonlevel
- Learning and applying new AI/ML tools and techniquescommonlevel
Tasks4
- Implement small ML componentscommonlevel
- Write and execute unit testscommonlevel
- Clean and label datasetscommonlevel
- Participate in team meetingscommonlevel
Skills8
- Python programmingcommonlevel
- Data cleaningcommonlevel
- Basic machine learningcommonlevel
- Unit testingcommonlevel
- Version control (e.g., Git)commonlevel
- Data labelingcommonlevel
- Communication skillscommonlevel
- Time managementcommonlevel
Knowledge8
- Machine learning basicscommonlevel
- Data preprocessingcommonlevel
- Software development lifecyclecommonlevel
- AI/ML tools and librariescommonlevel
- Statistical analysiscommonlevel
- Data structures and algorithmscommonlevel
- Software documentationcommonlevel
- Basic data visualizationcommonlevel
competency8
- Eagerness to learncommonlevel
- Attention to detailcommonlevel
- Ability to follow instructionscommonlevel
- Basic programming skillscommonlevel
- Understanding of machine learning conceptscommonlevel
- Team collaborationcommonlevel
- Problem-solvingcommonlevel
- Adaptabilitycommonlevel
qualification3
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related fieldcommonlevel
- Internship experience in machine learningcommonlevel
- Basic understanding of AI/ML conceptscommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Machine Learning I | common | medium0.70 | — |
| Machine Learning 1 | common | medium0.66 | — |
| Entry-Level Machine Learning | common | medium0.70 | — |
| Junior Machine Learning | common | medium0.68 | — |
| Associate Machine Learning | common | medium0.60 | — |
| Deep Learning I | common | medium0.70 | — |
| Deep Learning 1 | common | medium0.66 | — |
| Entry-Level Deep Learning | common | medium0.70 | — |
| Junior Deep Learning | common | medium0.68 | — |
| Associate Deep Learning | common | medium0.60 | — |
| Statistical Modeling I | common | medium0.70 | — |
| Statistical Modeling 1 | common | medium0.66 | — |
| Entry-Level Statistical Modeling | common | medium0.70 | — |
| Junior Statistical Modeling | common | medium0.68 | — |
| Associate Statistical Modeling | common | medium0.60 | — |
| Entry-Level AI/ML Engineer | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review