Ai/Ml Solution Architect

Summary

Responsibilities

• Design and oversee the architecture of comprehensive AI and machine learning solutions from conception to production deployment.
  
• Establish and enforce AI security protocols and governance frameworks to ensure data integrity and regulatory compliance.
  
• Architect scalable cloud-native environments utilizing AWS, Azure, or GCP AI services to support high-volume model inference and training.
  
• Develop strategies for continuous model monitoring, performance optimization, and lifecycle management in live production settings.
  
• Lead cross-functional initiatives, collaborating with engineering, product, and business teams to translate requirements into technical specifications.
  
• Engineer efficient Python-based APIs and integration layers to facilitate seamless interaction between AI models and existing enterprise systems.
  
• Drive the adoption of best practices for building resilient, scalable, and maintainable machine learning pipelines.
  

• Possess 8 to 12 years of professional experience within the IT Services domain, with a significant focus on AI and machine learning technologies.
  
• Demonstrate deep expertise in designing end-to-end AI/ML architectures suitable for enterprise-scale applications.
  
• Proven proficiency in cloud platforms, specifically leveraging AI services across AWS, Microsoft Azure, or Google Cloud Platform.
  
• Strong command of Python programming and API development principles for model integration and service delivery.
  
• Extensive background in implementing model monitoring mechanisms and optimization techniques for production environments.
  
• Demonstrated ability to collaborate effectively across diverse teams to deliver complex technical solutions.
  
• Solid understanding of AI security standards and governance policies to mitigate risks and ensure ethical AI usage.
  
• Competitive compensation package offering up to ₹30 LPA.