Gen AI Engineer
388 GREENWICH STREET - TOWER, United States
USD 142K-213K Senior-level Full Time
Tasks
- Build RAG retrieval augmented generation pipeline
- Build and maintain data products and APIs
- Continuously improve deployed models
- Contribute to applications development strategy
- Design machine learning models and pipelines
- Detect classify resolve data quality issues
- Develop automation tools for data reconciliation anomaly detection and reporting
- Implement MLOps best practices
- Integrate requirements into production solutions
- Manage applications development projects
- Manage model versioning and experiment tracking
- Monitor model performance metrics
- Perform prompt engineering
- Provide technical oversight and review solutions
- Set up CI CD for machine learning
- Train fine-tune and optimize AI models
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
APIs | Apache Spark | CI/CD | Code review | Data Lineage | Data Management | Data Quality | Databricks | Document processing | Entity Extraction | Experiment tracking | Fine Tuning | Generative AI | Git | Java | LLMs | Machine Learning | Master Data | Master Data Management | Model versioning | NLP | Optimization | Performance Monitoring | Prompt engineering | PyTorch | Python | RAG | REST API | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | TensorFlow | Unit Testing | Vertex AI
Education
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