Senior 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).

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

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

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

·       Deploy models in cloud and edge environments.

·        Collaborate with cross-functional teams and mentor engineers.

Use your skills to move the world forward!

·       Bachelor’s or master’s in computer science, AI, or related field.

·       5+ years of AI/ML experience with time-series focus.

·       Strong expertise in forecasting, anomaly detection, and sequence models.

·       Proficiency in Python (Pandas, NumPy, Scikit-learn).

·       Experience with PyTorch or TensorFlow.

·       Experience building production ML systems.

·       Knowledge of distributed systems and feature engineering techniques.