Added
less than a minute ago
Location
Type
Full time
Salary
Upgrade to Premium to se...
Related skills
python machine learning data pipelines simulation workflow orchestration📋 Description
- Build and ship AI Physics capabilities with the AI/ML team.
- Turn real customer simulation data into AI-ready pipelines.
- Harden early AI Physics POCs for repeatable production-ready results.
- Debug issues across data, models, and workflow orchestration.
- Work with customer engineers to understand workflows and constraints.
- Close gaps between customer workflows and product capabilities; feed learnings into the roadmap.
🎯 Requirements
- Strong software engineering fundamentals, with heavy emphasis on Python.
- Hands-on experience with ML or data-driven systems in production contexts.
- Familiarity with simulation workflows and engineering data.
- Experience building and modifying data pipelines and ML workflows.
- Ability to debug complex issues across data, models, and workflow orchestration.
- Comfortable working directly with customer engineers on technical problems.
🎁 Benefits
- Direct customer engagement during POCs and deployments.
- Occasional travel to customer sites for deep technical sessions.
- Influence product roadmap with field learnings.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!