Senior Advisor, Data Science - Machine Learning Engineer
Tasks
- Build feature pipelines
- Build inference services
- Build machine learning services
- Create training workflows
- Deploy models to production
- Design ETL pipelines
- Design machine learning systems
- Develop AI agents
- Enforce software engineering best practices
- Evaluate and integrate LLM technologies
- Implement MLOps standards
- Implement multi-agent systems
- Manage cloud data and infrastructure readiness
- Monitor model drift performance reliability
- Operationalize machine learning models
- Provide technical mentorship
- Respond to ML production incidents
- Set up automated retraining
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Apache Airflow | Automated retraining | CI/CD | Cloud platform | Data Warehousing | Deep learning | Docker | ETL | GPU Acceleration | Google Cloud | Google Cloud Platform | Graph Databases | Hybrid search | Information Retrieval | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Python | Recommender Systems | Semantic Search | Testing | Vector Search | Version control
Education
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