AI Engineer, IQVIA Digital/Ingénieur en Intelligence Artificielle, IQVIA Digital
Tasks
- Build machine learning models into production systems
- Conduct model experimentation
- Deploy machine learning models
- Design machine learning models
- Develop AI algorithms
- Develop reusable machine learning components
- Integrate models with APIs
- Integrate models with applications
- Manage model lifecycle
- Monitor models in production
- Optimize model performance
- Perform data preprocessing
- Perform feature engineering
- Stay current with AI/ML trends
- Translate business requirements into AI solutions
- Tune model hyperparameters
- Validate machine learning models
- Write maintainable scalable code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Data Preprocessing | Databricks | Feature Engineering | GCP | Hyperparameter Tuning | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Model Deployment | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Overfitting | PyTorch | Python | REST APIs | Recommendation Systems | Regularization | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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