Job Description PSTI- 3223
| Client Name | Tata Technologies |
| Client Location | Bengaluru |
| Position Name | AI & Data Science Engineer |
| Job Description | Develop Python based engineering tools and UIs using the Flet framework Build and deploy ML/AI models for automated prediction anomaly classification and simulation inference Perform full-cycle model development: data preprocessing training tuning validation post-processing Train and fine-tune LLM models for internal engineering search reasoning summarization and assistant-like interaction Implement neural network optimization: adjusting learning rates schedulers batch sizes regularization weight decay dropout strategies Perform feature-importance analysis & determine dominant contributors in prediction outcomes Use statistical & ML methods for ROM-AI interpretation (Reasoning Over Model) and model explainability Compare model accuracy using evaluation metrics such as F1 Precision/Recall RMSE MAPE R-Squared confusion matrices Interpret model confidence levels and validate prediction reliability via error analysis Maintain query logic and data retrieval from BigQuery for model inputs and tool data sources
Technical Skillset Required Strong Python development for AI tools backend logic and data processing Ability to write and optimize SQL queries in BigQuery Proven experience with ML & neural network frameworks such as TensorFlow PyTorch scikit-learn Hugging Face Hands-on experience in training fine-tuning and deploying large ML and LLM models AI & Model-Specific Competencies
|
| Qualification | B E /BTECH |
| # Postions | 1 |
| Experience | 4 to 8 Years |
| Type of Engagement | FTE |
| Work Location | Bengaluru |
| Notice Period | Immediate to 30 days |