AI Azure ML Engineer

Key Responsibilities:

• Architect and deploy AI/ML solutions using Microsoft Azure services
• Design end-to-end ML pipelines including data ingestion, feature engineering, model training, deployment, and monitoring
• Implement MLOps practices like CI/CD pipelines and operational monitoring
• Preprocess and analyze data to generate high-quality inputs for AI systems
• Build and manage vector indexes for AI retrieval systems
• Evaluate and choose appropriate ML frameworks, tools, and platforms
• Ensure compliance with security, performance, and cost optimization standards
• Collaborate with cross-functional teams including data engineers and data scientists

Qualifications:

• Bachelors or Masters degree in Computer Science, AI, or related field
• Relevant experience in AI/ML and Azure-based projects
• Experience working in global teams (preferred)

Key Responsibilities:

• Architect and deploy AI/ML solutions using Microsoft Azure services
• Design end-to-end ML pipelines including data ingestion, feature engineering, model training, deployment, and monitoring
• Implement MLOps practices like CI/CD pipelines and operational monitoring
• Preprocess and analyze data to generate high-quality inputs for AI systems
• Build and manage vector indexes for AI retrieval systems
• Evaluate and choose appropriate ML frameworks, tools, and platforms
• Ensure compliance with security, performance, and cost optimization standards
• Collaborate with cross-functional teams including data engineers and data scientists

Qualifications:

• Bachelors or Masters degree in Computer Science, AI, or related field
• Relevant experience in AI/ML and Azure-based projects
• Experience working in global teams (preferred)