Lead AI/ML Engineer - Remote Use this JD :- Need Azure Cognitive Service, GenAI and Strong Python and ML Model Development & Deployment Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative Al models (e.g., LLMs, transformers, embeddings) to address core business problems. Build scalable solutions for time series forecasting. classification, regression, recommendation systems, and NLP applications. Ensure models are explainable, reproducible, and compliant with governance standards (e.g., model cards, fairness audits). Business Collaboration Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and Al can drive measurable business outcomes. Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines. Experimentation & Causal Inference Design and analyze A/B tests, quasi-experiments, and longitudinal studies to assess the impact of product changes and campaigns. Implement causal inference techniques such as propensity scoring, double machine learning. difference-in-differences, and uplift modelling to estimate treatment effects and incremental gains