Developing
DSAISE.GEN.P2
Execute mid-level tasks like implementing standard neural network architectures, tuning hyperparameters, and maintaining code.
The story of this role
Who does this work
The data scientist/AI engineer who seeks to leverage advanced technologies to solve complex problems and innovate in high-growth industries.
The problem this role solves
- The external problem: Fierce competition in technology, automotive, robotics, finance, and healthcare sectors demands cutting-edge AI solutions.
- The internal problem: Feeling overwhelmed by the vast amount of data and the need for innovative problem-solving skills to make impactful decisions.
- Why it matters: Believing that intelligent systems can not only enhance organizational efficiency but also improve lives and society as a whole.
The plan
- 1. Acquire a deep understanding of industry-specific challenges through research and active listening.
- 2. Utilize critical thinking and complex problem-solving skills to design innovative AI models tailored to address these challenges.
- 3. Collaborate with cross-functional teams to ensure alignment of AI strategies with organizational goals.
- 4. Deploy and continually optimize AI solutions based on feedback and performance metrics.
- 5. Stay informed on advancements in AI, computers, and electronics to maintain a competitive edge.
What's at stake
Falling behind in the industry due to an inability to adapt to new technologies or methodologies. Missing opportunities to create value from data due to a lack of critical analysis or collaboration. Creating AI models that fail to meet user needs or solve real-world problems, leading to wasted resources.
Success looks like
Transforming vast data into actionable insights that drive business innovation and growth. Creating AI solutions that significantly improve operational efficiency or customer experiences. Positioning oneself as a thought leader and expert in the rapidly evolving domains of AI and data science.
Summary
Execute mid-level tasks like implementing standard neural network architectures, tuning hyperparameters, and maintaining code.
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 →
Components
Responsibilities8
- Implement standard neural network architecturescommonlevel
- Tune hyperparameterscommonlevel
- Maintain and update codebasecommonlevel
- Collaborate with team members on projectscommonlevel
- Conduct code reviewscommonlevel
- Develop test casescommonlevel
- Optimize model performancecommonlevel
- Assist in project documentationcommonlevel
Tasks5
- Implement neural networkscommonlevel
- Tune model parameterscommonlevel
- Maintain code qualitycommonlevel
- Collaborate on code reviewscommonlevel
- Optimize existing modelscommonlevel
Skills5
- Deep learning frameworkscommonlevel
- Hyperparameter tuningcommonlevel
- Code maintenancecommonlevel
- Collaboration toolscommonlevel
- Version controlcommonlevel
Knowledge5
- Neural network architecturescommonlevel
- Model optimization techniquescommonlevel
- Software development practicescommonlevel
- Version control systemscommonlevel
- Cloud computing basicscommonlevel
competency5
- Critical thinkingcommonlevel
- Problem-solvingcommonlevel
- Collaborationcommonlevel
- Technical proficiencycommonlevel
- Code optimizationcommonlevel
qualification3
- Experience with deep learning frameworkscommonlevel
- Experience with cloud platformscommonlevel
- Proficiency in coding and debuggingcommonlevel
Title aliases
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| AI Model Development II | common | medium0.70 | — |
| AI Model Development 2 | common | medium0.66 | — |
| AI Model Developer II | common | medium0.70 | — |
| AI Model Developer 2 | common | medium0.66 | — |
| Software Engineering II | common | medium0.70 | — |
| Software Engineering 2 | common | medium0.66 | — |
| Software Engineer II | common | medium0.70 | — |
| Software Engineer 2 | common | medium0.66 | — |
Classification mappings
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review