Job description

About the position Responsibilities • Lead the design, deployment, and maintenance of Azure AI infrastructure and ML platforms, ensuring scalability, compliance, and reliability. • Build and manage data pipelines for ingesting, storing, and processing structured and unstructured datasets. • Develop and maintain APIs and system integrations with enterprise platforms. • Implement MLOps best practices, including CICD pipelines, model deployment workflows, and monitoring model performance in production. • Collaborate with data scientists, compliance experts, and product owners to operationalize AI solutions and deliver actionable insights. • Support dashboards, reporting, and analytics using BI tools to translate complex data into clear insights for business teams. Requirements • 5+ years of experience in data engineering, machine learning, or AI-focused roles, with hands-on experience delivering scalable, cloud-based solutions. • Proven experience delivering scalable AIML solutions using Azure AI, Azure ML, or AWS Bedrock. • Hands-on experience designing and managing scalable cloud infrastructure and enterprise ML solutions. • Strong programming skills in Python, SQL, and/or Scala, with the ability to deliver production-grade, testable code. • Expertise in building and optimizing data pipelines, ETL processes, and large-scale data integration workflows. • Experience implementing MLOps practices, including CICD, model monitoring, and deployment best practices.

Requirements