Software Engineer AI/ML
Tasks
- Build LLM evaluation frameworks
- Build REST APIs
- Build alerting for model degradation
- Build data pipelines
- Build monitoring and observability
- Create automated evaluation pipelines
- Create proof of concept AI use cases
- Create vector database architectures
- Deploy models to production
- Design AI/ML products
- Develop LLM-powered applications
- Develop semantic search for RAG
- Document AI ML concepts and results
- Drive AI ML roadmap
- Evaluate model performance
- Implement MLOps experiment tracking
- Implement responsible AI practices
- Manage model versioning
- Monitor model performance
- Set up A/B testing frameworks
- Train machine learning models
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health coaching program
- Health insurance
- Retirement benefits
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Artificial Intelligence | Automated testing | B testing | C# | CI/CD | Classification | Data Drift | Data drift monitoring | Databricks | Datapipelines | Drift monitoring | FastAPI | Flask | GitHub | Java | LIME | LLM | Latency monitoring | MLflow | Machine Learning | Model versioning | Monitoring and observability | Prediction Latency Monitoring | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SHAP | Secure Coding | Semantic Search | Series forecasting | Time Series | Time Series Forecasting | TypeScript | Vector Databases | Weights and Biases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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