Manager - Data Science
Tasks
- Analyze data
- Build end-to-end ML pipelines
- Collect training datasets
- Conduct technical research
- Deploy production AI solutions at scale
- Design AI architectures
- Develop and validate models
- Ensure code quality and testing
- Implement scalable AI solutions
- Integrate CI/CD tools
- Lead design reviews
- Mentor junior team members
- Present technical findings
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Deep learning | Docker | Elasticsearch | Feast | Feature Store | GCP | Generative AI | Grafana | Hopsworks | Java | Keras | Kubeflow Pipelines | Kubernetes | Language Processing | MLflow | Machine Learning | Natural Language | Natural Language Processing | ONNX | Prometheus | Python | Reinforcement Learning | Scala | Scikit-learn | Seldon Core | TF-Serving | TensorFlow | XGBoost
Education
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