Modem Machine Learning Engineer
San Diego, California, United States of America
USD 104K-156K Senior-level Full Time
Tasks
- Build end-to-end ML pipelines
- Collaborate on production rollout
- Deploy and optimize ML models for on device targets
- Design develop train ML and DL models
- Design implement data and governance pipelines
- Develop mlops infrastructure
- Identify machine learning use cases
- Implement model performance monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Apache Kafka | Apache Spark | C++ | CI/CD | CNN | Concept drift | Data Drift | Databricks | Datadog | Deep learning | Delta Lake | Docker | ETL | Experiment tracking | GRU | Grafana | Hudi | Iceberg | Keras | Kubernetes | LSTM | MLOps | Machine Learning | Model Monitoring | Model versioning | Network Optimization | Network Quantization | Neural Network | Neural Network Optimization | Neural network quantization | On-device ML | PostgreSQL | Probability | Prometheus | PyTorch | Python | RNN | RabbitMQ | SQL | Sequence Modeling | Series forecasting | Splunk | Statistics | TensorFlow | Time Series | Time Series Forecasting | Transformers
Education
Regions
Countries
States
Cities
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