Software Engineer AI/ML
Tasks
- Build AI/ML products
- Build anomaly detection systems
- Build forecasting models
- Create automated training pipelines
- Deploy models to production
- Design vector database RAG systems
- Develop LLM-powered applications
- Develop MCP servers
- Develop REST APIs
- Ensure responsible AI practices
- Implement monitoring and observability
- Implement prompt engineering
- Perform model evaluation and testing
- Run A/B testing
- Track experiments with MLflow
- Track experiments with Weights and Biases
- Train machine learning models
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health and wellness programs
- Health insurance
- Retirement benefits
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Automated testing | B testing | C Sharp | CI/CD | Classification | Data Drift | Databricks | Deep learning | Experiment tracking | FastAPI | Flask | Java | LIME | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model versioning | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | REST APIs | Regression | Retrieval-Augmented Generation | SHAP | Semantic Search | Series forecasting | Time Series | Time Series Forecasting | TypeScript | Vector Databases | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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