Description

You will design and deploy AI-driven data ingestion frameworks, real-time processing solutions, and machine learning models in production environments.

This role is hybrid.

Responsibilities

• Build and maintain AI solutions that facilitate seamless data flow across the ecosystem for advanced analytics.
• Develop ETL processes, scripts, and ML pipelines using server-side and client-side technologies.
• Operationalize open-source AI tools for enterprise-scale applications, ensuring alignment with organizational needs.
• Implement data governance policies, including lineage, quality checks, and classification in AI projects.
• Provide system support in a team rotation to resolve issues and enhance performance.

Required Skills

• 5+ years of experience with Python, Java, or C++.
• Strong proficiency in Databricks, Fabric, Spark Notebooks, SQL/NoSQL databases, and Redis.
• Hands-on experience building backend services with FastAPI, LangChain, LlamaIndex, or Semantic Kernel.
• Proficiency in front-end technologies like React or Angular to integrate user interfaces with AI models.
• Experience designing and managing AI-driven data solutions on Microsoft Azure.
• Ability to develop data pipelines using Azure Data Factory for efficient ETL processes.
• Experience with big data technologies such as Azure Databricks and Apache Spark.

Preferred Skills

• Experience with Kafka, Hadoop, and real-time stream-analytic solutions.
• Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer certification.

Key Skills

Education

Any Graduate