Software Engineer with ML and Data Skills
Tasks
- Apply Docker based production tooling
- Automate infrastructure with Terraform
- Build and maintain data engineering pipelines
- Cluster tabular data at scale
- Filter false positives using LLMs
- Flag suspicious records using ML
- Implement continuous integration
- Integrate classic machine learning with large language models
- Manage data in BigQuery and Snowflake
- Orchestrate workflows with Airflow
- Perform unsupervised anomaly detection
- Process data with Spark
- Ship machine learning models into production pipelines
- Track experiments with MLflow
- Use Iceberg tables for analytics
- Verify anomalies with LLM reasoning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Spark | AutoEncoder | BigQuery | CI/CD | Cloud platform | Docker | Google Cloud | Google Cloud Platform | Iceberg | Isolation Forest | KNN | Language Models | Large Language Models | MLflow | Python | Snowflake | Terraform | Trino
Education
N/A
Roles
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