SR. Machine Learning Engineer, Enterprise AI Systems
USD 100K-180K Senior-level Full Time
Tasks
- Build Retrieval Augmented Generation systems
- Build data pipelines
- Build production grade AI and machine learning applications
- Conduct destructive testing for resiliency
- Configure dashboards logging and alerting
- Create intelligent automation workflows
- Create knowledge graph solutions
- Deploy and monitor AI/ML models
- Design machine learning solutions
- Develop Agentic AI applications
- Develop feedback loop architectures
- Implement AI ML algorithms in software
- Perform model and prediction quality monitoring
- Perform performance and capacity tuning
- Support production applications
- Write custom scripts for automation
Perks/Benefits
- N/A
Skills/Tech-stack
API | Automated testing | BigQuery | BigQuery ML | CI/CD | Data Architecture | Data Pipelines | Distributed Systems | Graph engineering | High Availability | Knowledge graphs | Language Models | Large Language Models | MLOps | Message Processing | Microservices | Model Monitoring | Model Serving | Network Analysis | NoSQL | Pandas | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Security | Semantic Search | TensorFlow | Vector Database | Version control | Vertex AI
Education
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