Senior AI / ML Engineer
Tasks
- Address model drift
- Architect scalable machine learning systems
- Deploy machine learning models to production
- Design machine learning solutions
- Develop train and optimize predictive models
- Drive data quality and governance
- Ensure AI compliance and security
- Establish model development standards
- Evaluate emerging AI technologies
- Implement MLOps model lifecycle management
- Improve feature engineering
- Lead proof of concept initiatives
- Mentor engineers and machine learning practitioners
- Monitor model performance
- Optimize deployment pipelines
- Perform model validation and testing
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Computer Vision | GCP | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | NLP | PyTorch | Python | Recommendation Systems | Scikit-learn | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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