Description

You will design, evolve, and optimize cloud-based data architecture supporting AI and ML systems.

This role is on-site.

Responsibilities

• Architect end-to-end AI/ML pipelines covering ingestion, training, deployment, and monitoring.
• Design and scale distributed cloud solutions for real-time and batch AI/ML workloads.
• Implement automated CI/CD pipelines for machine learning models to enable continuous delivery.
• Establish protocols for data access, privacy, and regulatory compliance across cloud data solutions.
• Translate business needs into technical solutions, serving as the liaison between stakeholders and technical teams.

Required Skills

• 5+ years of hands-on data engineering experience using distributed computing approaches.
• Proven track record designing and implementing cloud-based data solutions in Azure.
• Deep understanding of data modeling concepts and techniques.
• Strong proficiency with relational and non-relational database systems.
• Experience with Spark, Hadoop, MapReduce, Azure Data Lake, and Databricks.
• Exceptional diagramming skills using tools like Visio or Lucidchart.
• Ability to align AI/ML design with broader business technology roadmaps.

Preferred Skills

• Data Visualization expertise.

Key Skills

Education

Any Graduate