Director - Data Science
Tasks
- Conduct design reviews
- Design scalable AI and technical architectures
- Develop deployment strategies for production AI solutions
- Drive AI and decision science strategy and execution
- Drive AI and decision science vision
- Implement scalable AI and machine learning solutions
- Integrate CI/CD tools
- Lead code quality and functional testing
- Lead innovation and experimentation
- Participate in technical and business forums
- Provide technical mentorship
- Research academic papers and test new ideas
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Artificial Intelligence | Bayesian Inference | Deep learning | Docker | Elasticsearch | Feast | GCP | Generative AI | Grafana | Hopsworks | Information Retrieval | Java | Jupyter | Keras | Kubeflow Pipelines | Kubernetes | Language Processing | MLflow | MXNet | Machine Learning | Natural Language | Natural Language Processing | ONNX | ONNX Runtime | Optimization | PMML | Probabilistic Inference | Prometheus | PyCharm | Python | Recommendation Systems | Reinforcement Learning | Scala | SciKitLearn | Seldon Core | Series forecasting | TF-Serving | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
Roles
Data Science | Director | Director Data | Director, Data Science
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