Machine Learning Engineer
Tasks
- Build production machine learning solutions
- Lead internal AI product development
- Make cloud architecture decisions
- Optimize tune and test machine learning models
- Organize internal meetings and external events
- Participate in client workshops
- Present at conferences
- Scale models into production
- Send press releases
- Train and present to internal teams
- Work on client machine learning projects
- Wrap machine learning models for production
- Write technical blog articles
Perks/Benefits
- Corporate social responsibility activities
- Diversity and inclusion initiatives
- Employee well-being
- Hospital insurance
- Mobility budget
- Performance bonus
- Training opportunities
Skills/Tech-stack
Amazon Web Services | Apache Hadoop | Apache Spark | C++ | Cloud platform | Computer Vision | Data Pipelines | Databricks | Deep learning | Docker | Git | Google Cloud | Google Cloud Platform | Java | Kubernetes | Language Processing | Machine Learning | Microsoft Azure | Model Deployment | Model Optimization | Model Testing | Model Tuning | Natural Language | Natural Language Processing | PostgreSQL | Production Machine Learning | Project Management | Python | SQL | Scala | Software Engineering | Unix | Web Services
Education
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