Data AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build data pipelines
- Containerize workloads with Docker
- Create CI CD for machine learning models
- Deploy machine learning models to production
- Design ETL and ELT pipelines
- Develop feature pipelines
- Document data products and AI components
- Implement infrastructure as code with Terraform
- Implement streaming data with Apache Kafka
- Integrate LLMs with internal knowledge bases
- Monitor models in production
- Operate AI and data stack on AWS
- Operate data and AI systems
- Optimize retrieval quality
- Orchestrate containers with Kubernetes
- Provide guidance for data scientists
- Translate business requirements into technical solutions
Perks/Benefits
- 30 days vacation
- Bike leasing
- Cafeteria subsidy
- Coaching
- Company events
- Company pension
- Corporate benefits
- Flat hierarchies
- Flexible working hours
- Hybrid work
- Onboarding
- Sabbaticals
- Working abroad
Skills/Tech-stack
AWS | Airflow | Apache Kafka | Apache Spark | CI/CD | DBT | Docker | FastAPI | Kubernetes | Langchain | Llamaindex | MLflow | OpenAI API | PGVector | Pandas | Pinecone | PySpark | Python | SQL | Terraform | Vector Databases
Education
N/A
Roles
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