Hiring For AI Data Engineer - Fresher
Key Responsibilities:
- Work on LLM-based use cases such as:
- Requirement analysis
- Test case generation, Code generation
- Defect classification and prediction
- Build and optimize RAG pipelines using structured and unstructured data
Develop ML models for:
- Risk scoring
- Anomaly detection
- Classification tasks
- Assist in designing and evaluating agentic workflows (multi-agent systems)
Perform data analysis and feature engineering on:
- Test results
- Logs
- Defect datasets
- Contribute to model evaluation frameworks (accuracy, precision, recall, drift)
- Work with engineering teams to integrate models into APIs/workflows
Required Skills:
Strong fundamentals in
- Python
- Machine Learning (classification, regression, clustering)
Basic understanding of
- NLP / LLMs
- Prompt engineering
Experience with
- Pandas, NumPy, Scikit-learn
- Familiarity with APIs and data pipelines