Description

You will bridge the gap between data science and production by building scalable architectures for machine learning models.

Responsibilities

• Partner with data scientists to design workflows for real-time streaming and offline batch model activation.
• Develop prototype algorithmic products using AWS services with a focus on scale and latency.
• Productionize solutions using infrastructure-as-code patterns.
• Implement data processing workflows and cleansing logic to enhance the Feature Store.
• Collaborate with data engineering, architecture, and security teams to ensure data delivery and compliance with standards.

Required Skills

• 12+ years of experience implementing software product solutions in cloud environments.
• Expertise in AWS cloud services.
• Proficiency in Python, SQL, PySpark, and Docker.
• Experience with streaming and batch data architectures at scale.
• Strong understanding of DevOps and CI/CD concepts.
• Experience operating within an Agile Methodology environment.
• Master's degree in Computer Science, Software Engineering, or a related field.

Key Skills

Education

Master's degree