Related skills
optimization docker python pytorch genai📋 Description
- Develop end-to-end ML systems for production-scale workforce management.
- Deploy GenAI and agentic AI systems in production.
- Design agentic AI flows: tool use and orchestration.
- Forecast work volume and optimize shift schedules.
- Own the full lifecycle of the work schedule.
- Collaborate across ML, Operations Research, and CX teams.
🎯 Requirements
- 5+ years as an applied researcher or research engineer.
- MSc in Computer Science or related field (advantage).
- Hands-on Python: train models and data preprocessing.
- ML-Ops and cloud deployment experience.
- Strong background in mathematical optimization (Gurobi).
- Proficient with PyTorch and GenAI tooling.
🎁 Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote.
- Global, growth-focused teams with internal opportunities.
- Work on cutting-edge AI and GenAI in production.
- Collaborative, fast-paced environment across locations.
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!