IND-Software Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Align model development with AI governance compliance privacy documentation ethical standards
- Build reproducible notebooks and pipelines
- Communicate model decisions and business impact to technical and non technical audiences
- Contribute to embeddings chunking prompt engineering and structured outputs
- Define and track model metrics and evaluation approaches
- Deploy models and integrate scoring logic into production systems
- Design and evaluate machine learning experiments
- Develop NLP and generative AI retrieval augmented generation solutions
- Develop features and prepare knowledge using pandas NumPy scikit learn
- Handle PII detection and redaction considerations
- Implement drift detection and performance regression monitoring
- Parse and normalize unstructured data
- Perform statistical modelling and machine learning using Python
- Support A/B testing
- Use cloud AI platforms for training and deployment
- Validate and monitor models in production
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Services | AWS Bedrock | AWS SageMaker | Agent concepts | Azure AI | Azure AI Services | B testing | Chunking | Cloud Fundamentals | Data Generation | Deep learning | Dense retrieval | Docker | Document parsing | Drift Detection | Embeddings | Feature Engineering | Generative AI | Git | Google Vertex | Google Vertex AI | Hybrid retrieval | Knowledge graphs | Machine Learning | Model Deployment | Model Evaluation | Model Integration | Model Monitoring | NLP | NumPy | OCR | PII Detection | PII Redaction | Pandas | Performance Regression Monitoring | Performance regression | Prompt engineering | PyTorch | Python | RAG | Regression Monitoring | Retrieval-Augmented Generation | SQL | Scikit-learn | Sentiment Analysis | Statistical Modelling | Structured outputs | Synthetic Data Generation | Synthetic data | TensorFlow | Text Normalization | Unix | Unstructured Data | Vertex AI
Education
N/A
Roles
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