Machine learning Engineer
Tasks
- Build production level ML and AI solutions
- Conduct workshops with clients
- Coordinate trainings and internal meetings
- Lead internal AI product development
- Make cloud architecture and design decisions
- Optimize tune test and deploy models
- Parallelize and improve model performance
- Present at conferences and write technical content
- Scale models into production
- Work on client projects
Perks/Benefits
- Corporate social responsibility actions
- Diversity and inclusion initiatives
- Employee well-being initiatives
- Hospital insurance
- Mobility budget
- Performance-related bonus
- Regular follow-up plan
- Training opportunities
Skills/Tech-stack
AWS | Apache Hadoop | Apache Spark | Azure | C++ | Computer Vision | Data Engineering | Databricks | Deep learning | DevOps | Docker | GCP | Git | Hyperparameter Tuning | Java | Kubernetes | Language Processing | Machine Learning | Model Deployment | Model Optimization | Natural Language | Natural Language Processing | PostgreSQL | Python | SQL | Scala | Testing | Unix
Education
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