Description

You design and implement end-to-end ML product architectures, from data ingestion to model activation.

This role is on-site.

Responsibilities

• Design end-to-end ML architectures including data ingestion, feature engineering, and model processing.
• Partner with data science teams to develop real-time and batch workflows that maximize model impact.
• Build and prototype AI/ML solutions using AWS services, ensuring scalability, performance, and low latency.
• Productionize solutions using infrastructure-as-code (IaC) and cloud-native patterns.
• Build and enhance data pipelines and feature stores, handling data cleansing, transformation, and optimization.

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.
• Experience collaborating with data engineering, architecture, governance, and security teams.

Key Skills

Education

Any Graduate