Principal, Data & AI Platform Engineer
Berkeley Heights, New Jersey, United States
USD 110K-186K Senior-level Full Time
Tasks
- Apply secure coding practices
- Build ETL and ELT workflows
- Build analytics datasets and semantic layers
- Build feature engineering and training pipelines
- Build inference pipelines
- Define KPIs and reporting logic
- Deploy containerized workloads with Docker and Kubernetes
- Deploy on prem large language model solutions
- Deploy on prem machine learning solutions
- Design secure data pipelines
- Enable self-service analytics
- Enforce access controls and governance
- Ensure data quality and lineage
- Expose secure APIs and services
- Implement data security and encryption
- Integrate AI outputs into applications
- Integrate analytics with Spring Boot services
- Model data in Snowflake
- Optimize Snowflake cost
- Support audits and compliance
- Tune Snowflake performance
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Anomaly Detection | Data Governance | Data Lineage | Data Modeling | Data orchestration | Docker | ELT | ETL | Embeddings | Encryption | Forecasting | Java | Kubernetes | Language Models | Large Language Models | Machine Learning | Microservices | PostgreSQL | Prompt engineering | Python | REST APIs | SQL | Snowflake | Spring Boot | Vector Search
Education
Regions
Countries
States
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