Lead AI/ML Engineer

      Design and deploy models for forecasting, anomaly detection, and sequence modeling.

·       Apply ARIMA/SARIMA, Prophet, XGBoost, LSTM/GRU, and Transformer-based.

·       Build real-time and batch pipelines using distributed systems (Kafka, Spark, Kinesis).

·       Lead & guide the team members on design and development aspects.

·       Develop feature engineering pipelines including lag features, seasonality, Fourier features, and missing data handling.

·       Ensure scalability, reliability, and low-latency systems.

·       Implement MLOps practices including monitoring, drift detection, and CI/CD.

·       Deploy models in cloud and edge environments.

·       Collaborate with cross-functional teams and mentor engineers.