Software Engineer AI/ML
Tasks
- Build CI/CD pipelines
- Build LLM applications
- Build anomaly detection systems
- Build automated evaluation pipelines
- Build forecasting models
- Build monitoring and observability
- Build semantic search
- Conduct A/B testing
- Create APIs for model serving
- Create intelligent agents
- Create vector database architectures
- Deploy models to AWS
- Develop AI/ML products
- Ensure responsible AI bias detection
- Implement MLOps pipelines
- Implement data pipelines
- Implement rag pipelines
- Monitor model performance
- Perform feature engineering
- Perform model evaluation
- Provide model explainability
- Set up experiment tracking
- Train machine learning models
Perks/Benefits
- Dental benefits
- Employee assistance program
- Health Coach
- Health benefits
- Retirement benefits
- Vision benefits
- Wellbeing programs
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Automated testing | B testing | CI/CD | Classification | Databricks | Datadog | Deep learning | Experiment tracking | FastAPI | Flask | GitHub | LIME | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Optimization | Prompt engineering | REST APIs | Retrieval-Augmented Generation | SHAP | Semantic Search | Series forecasting | Time Series | Time Series Forecasting | Vector Databases | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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