AI - Data Scientist
Tasks
- Build predictive analytics models
- Collaborate with finance and business teams
- Create documentation for models and pipelines
- Deploy machine learning models
- Develop machine learning models
- Implement intelligent automation solutions
- Integrate financial data into models
- Monitor model performance
- Optimize ERP workflows using AI ML
- Refine models for accuracy efficiency scalability
- Report model impact to leadership
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Data Lakes | Data Pipelines | Data Preprocessing | Data integration | ERP | Feature Engineering | Google Cloud | Google Cloud Platform | Machine Learning | Model Tuning | NoSQL | Predictive Analytics | Process Automation | PyTorch | Python | R | RPA | Robotic Process | Robotic Process Automation | SQL | SQL Databases | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
Regions
Countries
States
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