Machine Learning Engineer
Tasks
- Build production-level ML/AI solutions
- Conduct workshops with clients
- Deliver client AI projects
- Design and architect cloud environments
- Guide Data Scientists to production deployment
- Lead internal AI product development
- Optimize and tune ML models for production
- Parallelize ML model training and inference
- Present at conferences
- Provide training and coaching
- Test and validate ML models
- Wrap ML models for production use
- Write technical blog articles
Perks/Benefits
- Corporate social responsibility actions
- Diversity and inclusion initiatives
- Employee well-being focus
- Hospital insurance
- Mobility budget
- Performance-related bonus
- Personal development plan
- Training opportunities
Skills/Tech-stack
AWS | Azure | C++ | Computer Vision | Databricks | Deep learning | DevOps | Docker | GCP | Git | Hadoop | Java | Kubernetes | Machine Learning | NLP | PostgreSQL | Python | SQL | Scala | Spark | Unix
Education
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