Senior AI / ML Engineer
Tasks
- Architect scalable machine learning systems
- Design machine learning solutions for business challenges
- Develop train and optimize predictive models
- Enforce data quality consistency and governance
- Ensure AI compliance and documentation
- Establish model development standards
- Evaluate emerging AI technologies
- Implement machine learning deployment strategies
- Implement responsible and secure AI practices
- Improve feature engineering and model training
- Lead proof of concept and innovation initiatives
- Mentor engineers and machine learning practitioners
- Monitor model performance and address drift
- Optimize infrastructure and deployment pipelines
- Perform model validation and testing
- Provide technical leadership and contribute to AI strategy
- Support MLOps and model lifecycle management
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Agile | Azure | CI/CD | Cloud Computing | Computer Vision | Data Governance | Data Quality | Distributed Systems | Feature Engineering | GCP | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Predictive Modeling | PyTorch | Python | Recommendation Systems | Responsible AI | Scikit-learn | Statistical Analysis | TensorFlow | XGBoost
Education
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