Modem Machine Learning Engineer
San Diego, California, United States of America
USD 128K-192K Senior-level Full Time
Tasks
- Build and integrate end to end machine learning pipelines
- Build and manage machine learning data platforms
- Collaborate on production rollout and model performance
- Deploy and optimize models for on device and modem targets
- Design develop and train machine learning deep learning models
- Develop and maintain MLOps infrastructure
- Identify machine learning use cases in modem and wireless systems
- Implement ETL data platforms MLOps CI CD observability governance pipelines
- Implement model performance monitoring and drift detection
Perks/Benefits
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Apache Kafka | 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 | Gated Recurrent Unit | Grafana | Hudi | Iceberg | Keras | Kubernetes | Lifecycle Management | Long Short-Term Memory | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Training | Model versioning | Network Optimization | Neural Network | Neural Network Optimization | Observability | PostgreSQL | Prometheus | PyTorch | Python | Quantization | RabbitMQ | Recurrent Neural Network | SQL | Sequence Modeling | Series forecasting | Short Term Memory | Splunk | TensorFlow | Time Series | Time Series Forecasting | Transformer
Education
Regions
Countries
States
Cities
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