Senior AI Engineer
Tasks
- Build and improve data operations and data quality tools
- Design and deploy machine learning and AI systems
- Develop and optimize data pipelines for analytics and machine learning
- Document data pipelines ML workflows and system architecture
- Ensure data reliability quality and performance
- Experiment and test AI models
- Implement and maintain data ingestion pipelines
- Implement data preprocessing and feature engineering pipelines
- Integrate models into data pipelines
- Monitor and troubleshoot data pipelines
- Monitor model performance and retrain workflows
- Optimize platform efficiency and scalability
- Perform code reviews and follow best practices
Perks/Benefits
- Career Development Training Opportunities
- Coworking office subscription
- Dental insurance
- Flexible holiday schedule
- Health insurance
- Home office setup stipend
- Life insurance
- Open vacation policy
- Paid parental leave
- Remote work options
Skills/Tech-stack
AWS | Airflow | Apache Spark | Azure | CI/CD | Cloud platform | Data Architecture | Data Modeling | Data Preprocessing | Data Warehousing | Databricks | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Java | LLMs | MLOps | MLflow | Machine Learning | NLP | PyTorch | Python | Real Time | Real-time Streaming | SQL | Scikit-learn | TensorFlow
Education
N/A
Roles
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