Description

You will lead architectural decisions for Cloud and Data Enterprise portfolios, designing and implementing production-grade AI/ML solutions.

This role is on-site.

Responsibilities

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

Required Skills

• 10+ years of progressive experience in application development.
• 5-6 years in solution or systems architecture specifically for AI disciplines.
• Minimum 5 years of experience working with a major cloud provider (AWS, Azure, or GCP).
• 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, including speech, vision, and text AI services.
• Strong understanding of AI/ML concepts, algorithms, and enterprise best practices for AI adoption.

Preferred Skills

• Strong analytical and problem-solving skills.
• Excellent verbal communication skills for advising business teams.

Key Skills

Education

Any Graduate