AI Engineer
Tasks
- Collaborate with engineers in an agile environment
- Deploy and maintain machine learning models
- Design develop and implement AI ML models and algorithms
- Develop and maintain efficient code in Python
- Document code, experiments, and results
- Perform data preprocessing and feature engineering
- Train, evaluate, and tune machine learning models
Perks/Benefits
- Adoption surrogacy expense reimbursement
- Community service paid time off
- Employee resource groups
- Fertility treatment benefits
- Flexible family care days
- Medical, dental & vision coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Drug Coverage
- Subsidized back-up child care
- Surrogacy expense reimbursement
- Tuition assistance
- Vehicle discount program
- Visa sponsorship
Skills/Tech-stack
Cloud Platforms | Data Pipelines | Data Preprocessing | Data cleaning | Deep learning | Feature Engineering | GCP | GenAI | Hyperparameter Tuning | Language Processing | MLOps | Machine Learning | Machine learning lifecycle | Model Evaluation | Natural Language | Natural Language Processing | PyTorch | Python | SQL | Scikit-learn | Spark | TensorFlow
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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