Applied AI ML Lead
Bengaluru, Karnataka, India
INR 3799K-5572K (estimate) Senior-level Full Time
Tasks
- Build RAG risk analysis pipelines
- Collaborate with product managers and compliance SMEs to improve outcomes
- Create data augmentation with regex filtering
- Design LLM powered risk detection features
- Design real time and batch scoring pipelines
- Implement experiment tracking and model versioning
- Implement model explainability techniques
- Monitor model drift bias and performance
- Optimize inference latency and token efficiency
- Set up CI CD for machine learning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS ECS | AWS Lambda | AWS SageMaker | Apache Spark | Attention visualization | CI/CD | Deep learning | Embeddings | HuggingFace Transformers | Information Retrieval | Java | Kafka | Kotlin | Kubeflow | LIME | Language Model | Language Processing | Large Language Model | MLflow | Machine Learning | Microservices | Model Monitoring | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | RAG | Retrieval-Augmented Generation | SHAP | SQL | Scikit-learn | TensorFlow | Vector Databases
Education
N/A
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