Technical Lead - Traditional ML

This role is responsible for developing, optimizing, and evaluating machine learning models focused on time series forecasting and natural language processing. The individual applies solid technical expertise to deliver scalable solutions, ensures adherence to best practices, and supports project objectives through effective use of Python, Spark, Kafka, and relevant ML frameworks.

Key Responsibilities

1. Develop and implement time series forecasting models using Python, scikit-learn, TensorFlow, and StatsModels, ensuring robust predictions and model accuracy.
2. Integrate and process large-scale streaming data with Apache Kafka and Spark, enabling real-time feature engineering and data transformation for ML pipelines.
3. Evaluate machine learning models with cross-validation, ROC/AUC, Precision/Recall, F1-score, and Confusion Matrix to ensure optimal performance and reliability.
4. Apply NLP techniques using NLTK and SpaCy to preprocess a...