Principle Machine Learning Engineer
Tasks
- Automate manual processes and optimize data delivery
- Build real time modeling pipelines
- Design high performance computing platforms and algorithms
- Develop and maintain modeling microservices
- Implement scalable data access patterns
- Productionize successful models with R and R&D teams
- Provide algorithm development and hosting thought leadership
- Translate data science algorithms to production software
Perks/Benefits
- 401k match
- Career development
- Charitable giving match
- Dental and vision coverage
- Employee stock purchase plan
- Flexible time off
- Health savings account
- Paid disability
- Paid parental leave
- Paid time off
Skills/Tech-stack
Apache Hive | Apache Kafka | Boosting | Clustering | Clustering Algorithms | Data Mining | Data Processing | Deep learning | Docker | Elasticsearch | Hadoop | Hadoop Ecosystem | High Performance | High-Performance Computing | Hive | Kubernetes | Linux | Machine Learning | Microservices | MongoDB | Performance Computing | PyTorch | Python | R | REST API | Real Time | Real-time Data | Real-time Data Processing | Redis | Regression | Regression Algorithms | SQL | SQL Server | Spark | Statistical Analysis | Streaming | TensorFlow
Education
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