Manager - Data Science
Tasks
- Build end-to-end data science pipelines
- Collect and analyze training data
- Convey technical concepts to stakeholders
- Define deployment strategies for cloud AI solutions
- Design technical architecture and conduct reviews
- Develop AI and machine learning solutions
- Integrate CI CD tools and manage code quality
- Lead functional testing and quality assurance
- Provide technical mentorship to junior team members
- Research academic papers and test new ideas
- Train validate and deploy models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Bayesian Inference | CI/CD | Deep learning | Docker | Elasticsearch | Feast | GCP | Generative AI | Grafana | Hopsworks | Information Retrieval | Java | Julia | KF Serving | Keras | Kubeflow KF Serving | Kubeflow Pipelines | Kubernetes | Language Processing | MLflow | MXNet | Machine Learning | Natural Language | Natural Language Processing | ONNX | Optimization | Probabilistic Inference | Prometheus | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Scala | SciKitLearn | Seldon Core | Series forecasting | TF-Serving | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
Master of Computer Science | Master of Engineering | Master of Science
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