Related skills
docker sql python pandas pytorch📋 Description
- Develop end-to-end ML systems for production models.
- Deploy GenAI and agentic AI solutions in production.
- Forecast work volume and optimize agent schedules.
- Build ML/Ops pipelines for scale.
- Design agentic AI flows and orchestration.
- Own end-to-end projects and drive delivery.
🎯 Requirements
- 5+ years as an applied researcher or research engineer.
- Hands-on Python developer for training models and data prep.
- Deploy GenAI/agentic AI systems in production.
- Time-series forecasting and mathematical optimization.
- ML-Ops, cloud deployment (AWS) and tooling.
- Proficient with PyTorch, scikit-learn, pandas, SQL, and Docker.
🎁 Benefits
- Join a market-leading, global company.
- NiCE-FLEX hybrid model: 2 office / 3 remote.
- Strong internal career opportunities across roles.
- Collaborative, fast-paced, creative environment.
- Global impact and competitive benefits.
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