Senior ML Engineer - Traditional ML

About the role

This role focuses on developing and maintaining machine learning solutions for time series forecasting within the organization’s data-driven platforms. The individual applies foundational knowledge of Python, ML algorithms, and data engineering tools to support feature enhancements, troubleshoot issues, and ensure reliable delivery of forecasting models.

What you'll do

• Maintain and enhance time series forecasting models using Python, scikit-learn, and StatsModels, ensuring alignment with business requirements and quality standards
• Troubleshoot and resolve bugs in ML pipelines leveraging Apache Spark and Kafka, supporting data ingestion and transformation tasks
• Support model evaluation by applying cross-validation, ROC/AUC, Precision/Recall, F1-score
• Participate in team code reviews and contribute to documentation of ML workflows and client deliverables using Python and ML libraries
• Monitor and process data streams for forecasting tasks using Apache Kafka and Spark, assisting in scheduled delivery and reporting of results

What you need

• Machine learning
• TensorFlow
• Python
• Databricks
• Scikit-learn
• Pandas
• Any graduate

Good to have

• Spark
• Kafka
• Azure
• NLP
• NumPy
• PyTorch