AI/Data Engineer
Tasks
- Analyze model performance experiment results and business metrics
- Collaborate with product and engineering teams to define AI driven features
- Contribute to technical decisions on tools architecture and best practices
- Design build and deploy machine learning solutions for production
- Develop and maintain data pipelines for training inference and analytics
- Extract insights from structured and unstructured data and build features
- Integrate AI models into backend systems and APIs
- Iterate on models using feedback loops monitoring and evaluation
Perks/Benefits
Skills/Tech-stack
API Integration | Artificial Intelligence | Data Pipelines | Data Warehousing | Experimentation | Machine Learning | Model Evaluation | Model Monitoring | Model versioning | PyTorch | Python | SQL | Scikit-learn | Statistics | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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