[EAF] Lead AI Engineer
Tasks
- Build and deploy machine learning models
- Conduct data analysis and feature engineering
- Design and develop AI/ML solutions
- Ensure AI ML compliance with quality standards
- Implement MLOps best practices
- Lead AI ML lifecycle implementation
- Mentor junior engineers
- Own AI ML technical architecture
- Perform technical code reviews
- Resolve complex AI ML technical issues
Perks/Benefits
- Annual leave
- Birthday leave
- Charity events
- Company trips
- Fitness and sport activities
- Flexible working time
- Lunch allowance
- Onsite assignments
- Parking allowance
- Premium health insurance
- Team building events
- Tech talks
- Training opportunities
- Year-end party
Skills/Tech-stack
Artificial Intelligence | CI/CD | Computer Vision | Data Annotation | Data Preprocessing | Feature Engineering | Generative AI | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Neural Networks | OpenCV | Predictive Analytics | PyTorch | Python | Scikit-learn | Statistical Methods | TensorFlow | Vector Databases | Version control
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
Regions
Countries
States
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