Description

Key Responsibilities Machine Learning & Predictive Modeling • Design and develop ML models • Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks • Evaluate model performance using MAE, RMSE, R², and error distribution analysis GenAI & Agent Driven AI • Collaborate with AI Engineers to embed ML models into GenAI driven, multi agent workflows • Work with RAG pipelines for document intelligence and contextual Q&A • Enable human readable explanations for predictions and recommendations Data Engineering & Feature Development • Analyze structured and unstructured datasets from historical estimates, actual costs, documents, and images • Perform feature engineering from: o SAP/EES data o Historical project attributes o Regulatory and standards documentation • Ensure data quality, normalization, and anomaly detection Image & Non Text Analytics (Preferred) • Support AI image analysis use cases: o Classification and attribute extraction from site photos and drawings o Compliance signals against engineering standards • Collaborate on pipelines using computer vision outputs and ML inference MLOps & Model Lifecycle • Support model training, validation, and runtime invocation within cloud native platforms • Work with DevOps and AI teams on: o Model versioning and reproducibility o Monitoring for drift, bias, and performance degradation • Provide inputs for MLOps / LLMOps pipelines and governance dashboards Required Skills & Experience • Strong foundation in Data Science, Machine Learning, and Statistics • Hands on experience with: o Python o scikit learn, XGBoost o Data analysis libraries (NumPy, Pandas) • Experience building regression and calibration models • Strong understanding of model evaluation metrics • Experience working with large, complex enterprise datasets • Ability to explain model outputs in business friendly language Preferred Skills • Exposure to GenAI / LLM enabled systems • Experience with RAG pipelines and vector search concepts • Familiarity with computer vision outputs and non text data analysis • Experience in utilities, infrastructure, or regulated industries • Understanding of AI governance, explainability, and auditability

Key Skills

Education

Bachelor's degree