Gen AI Engineer
Location(s): New York, New York, United States
USD 142K-213K Senior-level Full Time
Tasks
- Build and maintain internal data products and APIs
- Build retrieval-augmented generation pipelines
- Collaborate with data scientists, engineers, and stakeholders
- Contribute to applications development strategy
- Design and build machine learning models and pipelines for data quality
- Develop automation tools for data reconciliation anomaly detection and reporting
- Identify and apply machine learning techniques to improve data governance
- Implement MLOps best practices
- Implement prompt engineering
- Manage applications development projects
- Manage model versioning and experiment tracking
- Monitor deployed models and performance metrics
- Own solutions end to end from problem definition to production deployment
- Provide technical oversight for applications and systems
- Review and analyze proposed technical solutions
- Set up CI CD for machine learning
- Train, fine-tune, and optimize machine learning models
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Lineage | Data Management | Data Quality | Data Reconciliation | Databricks | Entity Extraction | Experiment tracking | Git | Java | MLOps | Machine Learning | Master Data | Master Data Management | Model versioning | NLP | Performance Monitoring | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Unit Testing | VertexAI
Education
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