AI/ML Data Engineer (TS/SCI with Poly Required)
Tasks
- Build data ingestion solutions
- Build data pipelines
- Collaborate in agile environment
- Design and develop scalable backend services
- Develop reusable APIs
- Improve processes through hands on development
- Ingest process and manage data
- Manipulate large scale files
- Optimize applications for speed and scalability
- Perform data mapping
- Perform data modeling
Perks/Benefits
Skills/Tech-stack
API Management | APIs | Amazon Web Services | Data Pipelines | Distributed Systems | ETL | Elasticsearch | Flask | Graph Databases | Graph Query | Graph Query Languages | Language Models | Large Language Models | Learning operations | MCP servers | Machine Learning | Machine Learning Operations | Microservices | MongoDB | Nifi | NoSQL | NodeJs | Python | Query languages | RabbitMQ | Web Services
Education
Roles
AI | AI/ML Data Engineer | Data Engineer | Engineer | ML Data Engineer
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