Machine Learning Architect
Tasks
- Architect scalable data pipelines for AI ML workloads
- Define machine learning and AI platform architecture
- Define reference architectures and best practices
- Design end to end ML workflows with Databricks
- Design secure and compliant AI architectures
- Drive cost optimization scalability and operational excellence
- Establish MLOps best practices
- Evaluate and integrate modern AI capabilities
- Guide data scientists and ML engineers on production patterns
- Optimize data models and feature stores
- Translate business needs into scalable technical solutions
Perks/Benefits
- Annual profit distribution
- Annual trip
- Continuous training
- Counseling services
- English lessons
- Psychotherapy services
- Remote-first work flexibility
- Sports incentives
- Team gatherings
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Artificial Intelligence | Automated retraining | Azure | CI/CD | Cloud platform | Data Architecture | Databricks | Delta Lake | Distributed Systems | ELT | ETL | Experimentation | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Lakehouse Architecture | MLOps | Machine Learning | Model Deployment | Model Drift | Model Governance | Model Monitoring | Model versioning | Observability | Python | SQL | Unity Catalog
Education
N/A
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