Senior AI Engineer
Tasks
- Architect AI/ML solutions
- Automate training testing deployment updates
- Build reusable AI models and components
- Collaborate with stakeholders to define business problems
- Deploy models to production
- Design model evaluation metrics
- Develop predictive modeling and decisioning systems
- Ensure data governance and privacy compliance
- Implement responsible AI practices
- Mentor junior team members
- Monitor model drift quality and reliability
- Perform data ingestion and feature engineering
- Prototype algorithms and run experiments
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | ARMA | Adagrad Optimizer | Adam Optimizer | CI/CD | Component analysis | Convolutional Neural Networks | Data Governance | Data Pipelines | Decision Trees | Deep learning | Feature Engineering | GPU | Gradient boosting | Hadoop | Hive | K-Means | Keras | LSTM | Logistic Regression | MLOps | Machine Learning | Microservices | Model Monitoring | Model versioning | Neural Networks | Principal Component Analysis | Privacy | PyTorch | Python | R | SQL | Spark | TensorFlow | Time Series | XGBoost
Education
Roles
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