Description

Build and maintain the machine learning infrastructure required to train and serve models at scale.

This role is remote.

Responsibilities

• Design and develop ML infrastructure and platforms for large-scale training and serving.
• Implement machine learning pipelines, workflows, and CI/CD pipelines for ML applications.
• Deploy, monitor, and maintain machine learning models within production systems.
• Develop scalable modeling algorithms and predictive models on large-scale datasets.

Required Skills

• 5+ years of experience in machine learning or related fields.
• Proficiency in Python and R for statistical programming.
• Experience with Apache Spark and Databricks.
• Hands-on experience with Azure Machine Learning and Azure Data Factory.
• Strong background in applied mathematical modeling and software development.
• Hands-on experience with SQL and database querying.
• Proficiency with Tableau or Power BI.
• Knowledge of Docker for containerization.

Preferred Skills

• Experience with large-scale distributed computing environments.

Key Skills

Education

Any Graduate