AI/ML SOLUTION ARCHITECT
Posted
Summary
Designs and oversees end-to-end AI/ML solutions in the IT services sector: architecting cloud-native ML environments on AWS/Azure/GCP, building Python APIs, enforcing AI security and governance, and managing model monitoring and lifecycle in production. Requires 8-12 years' experience; pays up to ₹30 LPA.
Summary
We are seeking a seasoned AI/ML Solution Architect to lead the design and implementation of sophisticated artificial intelligence systems within the IT Services sector. This pivotal role involves orchestrating end-to-end machine learning lifecycles, ensuring robust cloud infrastructure, and driving strategic technical decisions that align with business objectives. The ideal candidate will serve as a bridge between complex data science concepts and scalable production environments, delivering secure, high-performance AI solutions that leverage cutting-edge technologies and foster cross-functional innovation.
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.
Requirements
Requirements:
- 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.