Description

You will implement machine learning solutions within large-scale data environments, owning the full lifecycle from model development to production deployment.

This role is on-site.

Responsibilities

• Develop and refine machine learning models using Spark ML.
• Manage large-scale data processing tasks to ensure timely delivery.
• Implement scalable ML pipelines for production environments.
• Optimize data processing workflows for performance and efficiency.

Required Skills

• Minimum 10 years of professional engineering experience.
• Proven expertise with Spark ML.
• Bachelor's Degree from an accredited university.
• Strong understanding of big data architectures.
• Experience deploying machine learning models at scale.

Key Skills

Education

Bachelor's Degree