Modem Machine Learning Engineer
San Diego, California, United States of America
USD 104K-156K Senior-level Full Time
Tasks
- Build and integrate machine learning pipelines
- Build and maintain MLOps infrastructure
- Collaborate for production rollout
- Deploy and optimize models for on device targets
- Design develop and train machine learning models
- Detect data drift and concept drift
- Identify machine learning use cases
- Implement CI CD for machine learning
- Implement ETL and data pipelines
- Implement model performance monitoring
- Implement observability and governance pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Apache Spark | C plus plus | CI/CD | Concept drift | Data Drift | Data Ingestion | Databricks | Datadog | Deep learning | Delta Lake | Docker | Experiment tracking | Feature Engineering | Grafana | Hudi | Iceberg | Kafka | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Model versioning | Object-Oriented | Object-oriented design | PostgreSQL | Prometheus | Python | Quantization | RabbitMQ | SQL | Sequence Modeling | Series forecasting | Splunk | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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