Senior Engineer - AI
Tasks
- Build feature pipelines and datasets
- Define success metrics and constraints
- Design experiments using A B testing and offline metrics
- Frame AI use cases with stakeholders
- Implement CI CD for machine learning
- Ingest clean and transform data
- Package and deploy models to production APIs batch jobs and streaming
- Retrain recalibrate or roll back models
- Select algorithms for NLP recommendation and deep learning
- Set up model monitoring for drift performance latency cost and failures
- Train tune and validate machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS | Airflow | Azure | B testing | CI/CD | Continuous Retraining | DVC | Data Versioning | Deep learning | Docker | Feature Engineering | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | LIME | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Model Explainability | Natural Language | Natural Language Processing | Optimization | PyTorch | Python | SHAP | Statistics | TensorFlow
Education
N/A
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