Description

You will lead architectural decisions for the Cloud and Data Enterprise Portfolios.

Responsibilities

• Design state-of-the-art AI/ML solutions meeting functional, scalability, reliability, security, and performance requirements.
• Create application, data, deployment architectures, and functional design specifications.
• Develop technical implementation roadmaps for AI/ML adoption and advise business teams on cloud implementations.
• Implement AI/ML solutions and statistical analysis projects in a production cloud environment.
• Collaborate with Information Security and Compliance teams on architectural solutions.

Required Skills

• 10+ years of progressive experience in application development, including 5-6 years in solution/systems architecture for AI disciplines.
• Proven track record implementing machine learning solutions, AI services, and statistical analysis in production.
• Expertise in MLOps and dataops lifecycle engineering implementation in an enterprise setting.
• Proficiency in coding using Python, Spark, or R.
• Familiarity with cloud AI/ML platform offerings, features, and understanding of speech, vision, and text AI services.
• Experience with AI/ML concepts, algorithms, and enterprise best practices for AI adoption.
• Minimum 5 years of experience working with a cloud provider (AWS or Azure).
• Strong analytical, problem-solving, and verbal communication skills.

Key Skills

Education

Any Graduate