Description

Design and implement end-to-end ML product architectures, from data ingestion to model activation. Own the development of scalable, low-latency AI/ML solutions on AWS.

This role is on-site.

Responsibilities

• Architect end-to-end ML pipelines including feature engineering, model processing, and result activation.
• Build and productionize AI/ML solutions using AWS services and infrastructure-as-code patterns.
• Develop real-time and batch workflows in partnership with data science teams to maximize model impact.
• Enhance data pipelines and feature stores, handling cleansing, transformation, and optimization.
• Collaborate with data engineering and security teams to ensure compliance with enterprise standards.

Required Skills

• 5+ years of experience building software and ML-driven products in cloud environments.
• Strong expertise in AWS cloud services for AI/ML development and deployment.
• Proficiency in Python, SQL, PySpark, and Docker.
• Experience with streaming and batch architectures at scale.
• Strong knowledge of DevOps and CI/CD practices.
• Experience working in Agile development environments.

Preferred Skills

• Master’s Degree in Computer Science, Software Engineering, or a related field.

Key Skills

Education

Any Graduate