Modem Machine Learning Engineer
San Diego, California, United States of America
USD 128K-192K Senior-level Full Time
Tasks
- Build end-to-end machine learning pipelines
- Collaborate on production rollout
- Deploy optimize models for on device targets
- Design develop train machine learning models
- Identify machine learning use cases
- Implement ETL data platform MLOps CI CD observability governance
- Implement MLOps infrastructure
- Monitor model performance and data drift
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Apache Spark | C++ | CI/CD | Concept drift | Convolutional Neural Network | Data Drift | Data Ingestion | Databricks | Datadog | Deep learning | Delta Lake | Docker | ETL | Experiment tracking | Feature Engineering | GRU | Grafana | Hudi | Iceberg | Kafka | Keras | Kubernetes | LSTM | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model versioning | Network Optimization | Neural Network | Neural Network Optimization | On-device ML | PostgreSQL | Prometheus | PyTorch | Python | Quantization | RabbitMQ | Recurrent Neural Network | SQL | Sequence Modeling | Series forecasting | Splunk | TensorFlow | Time Series | Time Series Forecasting | Transformer
Education
Regions
Countries
States
Cities
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