P2P2 — Developing Professional
Developing AI/ML Engineer
P2 engineers are developing professionals who have gained some experience and can work more independently on well-defined tasks.
What this level means
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
What you'd do
- Training and evaluating a new model with moderate guidance
- Developing parts of an ML pipeline
- Improving an existing model by tuning hyperparameters
- Conducting data analysis to inform model development
- Collaborating with cross-functional teams
- Documenting and presenting findings
- Contributing to project planning and execution
- Maintaining and updating existing models
- Train and evaluate models
- Develop ML pipeline components
- Tune model hyperparameters
Skills, knowledge & tools
- Model training and evaluation
- Hyperparameter tuning
- Data analysis
- Pipeline development
- Technical documentation
- Cross-functional collaboration
- Project management
- Advanced Python programming
- Advanced machine learning techniques
- Data pipeline architecture
- Model evaluation metrics
- AI/ML frameworks (e.g., TensorFlow, PyTorch)
- Statistical modeling
- Data-driven decision making
- Software development best practices
- Emerging AI technologies
- Limited supervision
- Independent judgment
- Problem-solving
- Analytical thinking
- Technical writing
- Collaboration
- Adaptability
- Continuous learning
What good looks like
- 2–5 years experience or 1–2 years with a Master’s
- Experience with real production data
- Proficiency in AI/ML tools and techniques
Common titles
Machine Learning IIMachine Learning 2Deep Learning IIDeep Learning 2Statistical Modeling IIStatistical Modeling 2Developing AI/ML Engineer
Where it sits & what it pays
O*NET / SOC: 15-0000 — Computer & Mathematical Occupations(inferred · under review)
Market-pay benchmarks for this family × level are coming — JobFrame anchors pay to the family/level structure rather than the raw title.