Senior AI Engineer
Tasks
- Architect AI/ML solutions
- Automate model training testing deployment updates
- Build data ingestion and feature pipelines
- Build training inference pipelines
- Collaborate with stakeholders to define problems
- Deploy models into production
- Design metrics and validate model impact
- Develop predictive models and decisioning
- Engineer features for training and inference
- Ensure data governance and privacy compliance
- Implement responsible AI practices
- Manage model versioning and performance monitoring
- Mentor junior team members
- Prototype algorithms and run experiments
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | ARIMA | ARMA | Adagrad | CI/CD | CNN | Data Governance | Data Pipelines | Decision Trees | Deep learning | Feature Engineering | GPU Computing | Gradient boosting | Hadoop | Hive | K-Means | Keras | LSTM | Logistic Regression | MLOps | Machine Learning | Microservices | Model Deployment | Model Evaluation | Model Monitoring | Neural Networks | PCA | Privacy | PyTorch | Python | R | Responsible AI | SQL | Spark | TensorFlow | Time Series | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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