Description

job responsibilities include:

Design and implement end-to-end ML product architectures, including data ingestion, feature engineering, model processing, and results activation.

Partner with data science teams to develop real-time and batch workflows that maximize the impact of machine learning models.

Build and prototype AI/ML solutions using AWS services, ensuring scalability, performance, and low latency.

Develop and productionize solutions using infrastructure-as-code (IaC) and cloud-native patterns.

Build and enhance data pipelines and feature stores, including data cleansing, transformation, and optimization.

Collaborate with data engineering, architecture, governance, and security teams to ensure compliance with enterprise standards.

Desired Qualifications:

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

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.

Experience working in Agile development environments.

Strong knowledge of DevOps and CI/CD practices

Key Skills

Education

Any Graduate