Lead Product Software Engineer - ML Data Systems
USA - NY - 7 Hudson Square, United States
USD 155K-213K Senior-level Full Time
Tasks
- Build and operate distributed data processing platforms
- Define engineering standards monitoring observability and reliability
- Design reliable APIs and service interfaces
- Design scalable distributed systems and services
- Develop feature serving and recommendation delivery services
- Drive technical strategy and execution for personalization platforms
- Integrate model inference into platform services
- Lead architecture for high availability low latency traffic systems
- Mentor engineers through technical leadership and design reviews
- Translate business objectives into scalable software solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | DBT | Data Lake | Data Pipelines | Data Quality | Data Validation | Data Warehouse | Databricks | Databricks Delta | Dbt tests | Feature Store | Java | Kafka Streams | Kubeflow | Kubernetes | MLOps | MLflow | Monitoring | Observability | Python | Real Time | Real-time Streaming | SQL | SQL schema | SQL schema design | Scala | Schema Design | Snowflake | Streaming Data | Streaming data pipelines | TFX | TensorFlow Extended
Education
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
Regions
Countries
States
Cities
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