Full-Stack AI Engineer
A ZAR 600K-780K (estimate) Senior-level Full Time
Tasks
- Automate data labeling and preprocessing
- Build front-end user interfaces
- Build vector search for RAG
- Containerize services with Docker
- Create ETL pipelines
- Deploy applications to Kubernetes
- Deploy machine learning models
- Develop back end microservices
- Document systems for reproducibility
- Ensure data privacy compliance
- Implement CI/CD pipelines
- Implement access control and rate limiting
- Integrate models into production APIs
- Manage datasets in cloud warehouses
- Monitor latency cost and model drift
- Productionize ML prototypes
- Secure API endpoints
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Redshift | Amazon SageMaker | BigQuery | CI/CD | Dagster | Docker | ETL | Faiss | FastAPI | Flask | JavaScript | Kubeflow | Kubernetes | MLOps | MLflow | Next.js | Node.js | Pinecone | Prefect | PyTorch | Python | React | Retrieval-Augmented Generation | SQL | Serverless | Snowflake | TensorFlow | TypeScript | Vertex AI | Vue.js | Weaviate | Weights and Biases
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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