Description

Build and maintain infrastructure for deploying and managing machine learning models in an Agile environment.

Responsibilities

• Implement end-to-end data and ML pipelines to train, test, and deploy predictive models.
• Write Spark code using Python, Scala, or SQL to process large-scale datasets.
• Run tests, perform statistical analysis, and interpret results to ensure model accuracy.
• Develop MLOps workflows using cloud-native services and architectures.

Required Skills

• 5+ years of experience in data or machine learning engineering.
• Proficiency in Python, Scala, or SQL.
• Hands-on experience with PySpark, Spark SQL, and DataFrames.
• Deep understanding of Data/Delta Lake concepts.
• Experience with Hadoop and large-scale data processing services.
• Experience implementing MLOps using cloud-native services.
• Knowledge of cloud-based architectures.
• Background in the automotive or manufacturing domain.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate