Builds the internal ML platform that lets teams ship models with golden paths.
Entry
Senior
Coding
Very High
Key skills
Common progression
Career overview
The ML Platform Engineer builds the internal ML platform: training infrastructure, feature stores, model registry, serving, observability and self-service golden paths for ML teams. They apply platform engineering to ML. The role leads to Senior ML Engineer, AI Solutions Architect or Platform Architect positions.
Main responsibilities
- Build the ML platform and tooling
- Build internal self-service platforms for developers
- Describe infrastructure as code and version it
- Build and maintain CI/CD pipelines
- Monitor platform health, alerts and dashboards
- Serve model inference at scale
- Improve developer experience and golden paths
- Mentor junior team members and review their work
- Own the technical roadmap of the perimeter
- Automate recurring tasks with scripts
Technical skills
Technologies
Education level
Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.
High School / Bac
Less common
Bac+2 (2-year degree)
Less common
Bac+3 (Bachelor)
Less common
Bac+5 (Master / Engineering)
Common entry point
Experience & coding level
Experience level
Coding level
Useful certifications
Certifications are never mandatory. They are one way among others to prove a skill.
- Google Professional ML Engineer
- AWS Machine Learning Specialty
- CKA
Where can this career take you?
Multiple paths are possible. Click a role to open its profile.
Direct progression
Possible branches
Where can you go next?
Realistic next career moves, with compatibility and a transition roadmap for each.
Overlap: 63% · Difficulty: Easy
Skills to learn: MLOps & CI/CD, Cloud ML platforms, Mentoring
View roadmapWhere can you go from here?
A typical progression built from real career relationships. Click any role to open its profile.
Soft skills
- Big-picture thinking
- Problem solving
- Autonomy
- Mentoring
- Clear communication
- Sense of ownership
Common previous careers
Roles that frequently lead into this career.
Overlap: 64% · Difficulty: Medium
Skills to learn: IaC (Terraform), Observability, Developer experience
View roadmapOverlap: 49% · Difficulty: Medium
Skills to learn: ML platform architecture, Feature stores, Observability
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Keep moving: compare roles, follow a roadmap, read a guide or prepare for an interview.
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A documented transition from this role to the next.
ML Platform EngineerSenior ML Engineer
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