Machine Learning Engineer
Tasks
- Build machine learning data pipelines
- Build retrieval augmented generation data pipelines
- Deploy governed machine learning services on GCP
- Develop RESTful backend APIs
- Develop React frontend dashboards
- Implement strict data contracts and schema validation
- Manage asynchronous workloads and task queues
- Optimize PyTorch data input output
Perks/Benefits
- Flexible working
- Health and wellbeing benefits
- Hybrid work
- Income protection
- Life assurance
- Pension contribution
- Professional development
Skills/Tech-stack
Apache Airflow | Apache Arrow | Apache ELT | Apache ETL | Apache Parquet | BigQuery | CI/CD | Celery | Cloud Storage | Cloud platform | DBT | Docker | ETL | Embeddings | FastAPI | Git | Google Cloud | Google Cloud Platform | Great Expectations | Infrastructure as Code | JSON Schema | Kubeflow Pipelines | Langchain | Llamaindex | PyTorch | Pydantic | Python | RAG | REST | RabbitMQ | React | TypeScript | Vector Database | Vector indexing | Vertex AI | “as-code”
Education
N/A
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