Description

Design and implement end-to-end ML product architectures and productionize AI/ML solutions on AWS.

This role is on-site.

Responsibilities

• Design end-to-end ML architectures including data ingestion, feature engineering, and model activation.
• Build and prototype scalable AI/ML solutions using AWS services with low latency.
• Develop production-grade solutions using infrastructure-as-code and cloud-native patterns.
• Build data pipelines and feature stores, handling cleansing, transformation, and optimization.
• Collaborate with data science, engineering, and security teams to ensure enterprise compliance.

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, and PySpark.
• Experience with Docker and containerization.
• 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