Senior Data Scientist
Tasks
- Apply responsible AI practices
- Architect AI/ML solutions
- Automate training testing deployment and updates
- Build decisioning solutions
- Build microservice based AI
- Collaborate with stakeholders to define problems
- Conduct feature engineering
- Create data and feature pipelines
- Deploy models to production
- Design metrics and measurement
- Design training and inference pipelines
- Develop predictive models
- Ensure data governance and privacy
- Evaluate model performance
- Implement deployment frameworks
- Improve model robustness latency and maintainability
- Manage model versioning
- Mentor junior team members
- Monitor model drift and performance
- Perform data ingestion and aggregation
- Promote reusable AI components
- Prototype algorithms
- Run experiments
- Validate model impact
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | ARIMA | ARMA | Adagrad | CI/CD | Component analysis | Convolutional Neural Networks | Data Pipelines | Decision Trees | Deep learning | Feature Engineering | Gradient boosting | Hadoop | Hive | K-Means | Keras | LSTM | Logistic Regression | MLOps | Machine Learning | Microservices | Model Monitoring | Neural Networks | Principal Component Analysis | PyTorch | Python | R | SQL | Spark | TensorFlow | Time Series | XGBoost
Education
Roles
AI Engineer | Data Scientist | Engineer | Scientist | Senior AI Engineer | Senior Data Scientist
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