Applied Machine Learning Engineer
Tasks
- Build proof of concept infrastructure configurations
- Collaborate with cross-functional teams to deliver features
- Develop ML software prototypes
- Develop and execute AI/ML experiments
- Evaluate technologies for scalable mission critical production environments
- Present results to team members and stakeholders
Perks/Benefits
- 401k match
- Education assistance programs
- Flexible spending accounts
- Health care and wellness plans
- Inclusive work environment
- Paid Holidays
- Professional growth and development programs
- Relocation assistance
- Sick time
- Telework options
- Vacation
Skills/Tech-stack
AWS | Airflow | Apache Kafka | Azure | C++ | CUDA | Cloud Integration | DVC | Data Engineering | Deep learning | DevOps | Docker | Flink | GPUs | Hadoop | High Performance | High-Performance Computing | Kubeflow | Kubernetes | Linux | MLOps | MLflow | Machine Learning | Model Deployment | Neptune | NoSQL | Performance Computing | Python | R | SQL | Spark | TPUs | Unix
Education
N/A
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