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Machine Learning Engineer – Digital Twin
Minor Hotels Europe and AmericasMachine Learning Engineer developing advanced ML models for predictive analytics at Capgemini Invent. Collaborating with teams to enhance digital twin models using data insights.
Tech Stack
Tools & technologiesPythonTensorflow
About the role
Key responsibilities & impact- Develop and deploy advanced ML models for predictive analytics
- Build scalable feature engineering and inference pipelines
- Design and integrate ML systems into production ecosystems
- Collaborate with cross-functional teams to enhance digital twin models
Requirements
What you’ll need- 6–13 years of experience in machine learning
- Strong expertise in Python and TensorFlow
- Hands-on experience in production-grade ML deployment including MLflow
- Strong understanding of time-series modeling and forecasting techniques
- Exposure to optimization and simulation tools (OR-Tools, SimPy)
Benefits
Comp & perks- Flexible work arrangements
- Career growth programs
- Valuable certifications in latest technologies
ATS Keywords
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Hard Skills & Tools
machine learningPythonTensorFlowML deploymentMLflowtime-series modelingforecasting techniquesoptimization toolssimulation toolsfeature engineering
Soft Skills
collaborationcross-functional teamwork