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Lead Software Engineer
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- Posted 19 hours ago
- Be among the first 10 applicants
Job Description
Python, Data Pipeline Engineering, S3 Dataset Balancing & Deduplication, Supervised Fine-Tuning Execution, Evaluation Harness Scripting, Drift Detection Implementation
MXS Shadow Mode Parallel Inference Configuration, IXP Feature Flag Traffic Migration, Instant Automated Rollback Triggers, Long-Context Sample Processing, Model Accuracy Tracking MetricsPython, Data Pipeline Engineering, S3 Dataset Balancing & Deduplication, Supervised Fine-Tuning Execution, Evaluation Harness Scripting, Drift Detection Implementation
MXS Shadow Mode Parallel Inference Configuration, IXP Feature Flag Traffic Migration, Instant Automated Rollback Triggers, Long-Context Sample Processing, Model Accuracy Tracking Metrics
MXS Shadow Mode Parallel Inference Configuration, IXP Feature Flag Traffic Migration, Instant Automated Rollback Triggers, Long-Context Sample Processing, Model Accuracy Tracking MetricsPython, Data Pipeline Engineering, S3 Dataset Balancing & Deduplication, Supervised Fine-Tuning Execution, Evaluation Harness Scripting, Drift Detection Implementation
MXS Shadow Mode Parallel Inference Configuration, IXP Feature Flag Traffic Migration, Instant Automated Rollback Triggers, Long-Context Sample Processing, Model Accuracy Tracking Metrics
More Info
Key Skills
Traffic Migration
Execution Evaluation
Harness Scripting
Dataset Balancing
Long-Context Sample Processing
Parallel Inference Configuration
Drift Detection Implementation
IXP Feature Flag
Data Pipeline Engineering
Instant Automated Rollback Triggers
Model Accuracy Tracking
MXS Shadow Mode
Supervised Fine-Tuning
About Company
Skills:
snowflake , Aws Lambda, Amazon S3, Sql, ELT, Git, Gcp, Azure, Etl, AWS, Airflow, Prefect, Azure Data Lake Storage, CI/CD pipelines, dbt, Dagster, Infrastructure-as-Code, Cloud-native services
Skills:
production readiness , Logging, Dashboards, metrics, AWS, automated anomaly detection, error budgets, service-level indicators, SRE, automation capabilities, distributed tracing, runbooks, alerting, measurable service health objectives, Capacity Planning, reliability engineering, operational controls, AI-assisted engineering practices, service-level objectives, observability