AI Engineer
Tasks
- Collaborate with cloud data and data engineering teams
- Design data structures and algorithms
- Design scalable machine learning solutions
- Develop MLOps platforms
- Implement data and AI observability
- Implement machine learning software for production
- Provide AI and data architecture best practices
- Support ETL pipelines with SQL
Perks/Benefits
- Flexible working hours
- Health insurance
- Parental support
- Remote work flexibility
- Ticket restaurant
- Training and development programs
- Welfare plan
Skills/Tech-stack
AWS | Agile | Azure DevOps | Big Data | Cloud Platforms | Cloud platform | DVC | Data Observability | Data Warehousing | Deep learning | ETL | GitHub | GitLab | Google Cloud | Google Cloud Platform | Hadoop | Hive | HuggingFace Transformers | Java | Kafka | Kanban | Langchain | MLOps | MLflow | Machine Learning | Microsoft Azure | PyTorch | Python | SQL | Scala | Scrum | Spark | TensorFlow | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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