Solution Architect - AI/ML - Remote

Overview

As a Solution Architect Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other customers to ensure that our AI/ML solutions meet business needs and technological standards.

In Short

• Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.
• Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.
• Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.
• Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications.
• Create and maintain comprehensive documentation for AI/ML architectures.
• Participate in regular Scrum events such as Sprint Planning, Review, and Retrospective.
• Ensure that AI/ML systems stay in sync with security standards and regulatory requirements.

Requirements

• Bachelor’s degree or equivalent experience in computer science, Data Science, or Statistics; master's degree preferred.
• 10-15 years of proven experience in AI/ML architecture.
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of system architecture principles.
• Experience with Microsoft Azure cloud services.
• Experience with event-handling systems such as Kafka.
• Proficiency in data technologies and data engineering practices.
• Excellent verbal and written communication skills.

Benefits

• Opportunity to make a difference through your work.
• Comprehensive medical and insurance coverage.
• Commitment to diversity, equity, and inclusion.
• Work Authorization Sponsorship for foreign nationals.
• Development opportunities in an inclusive environment.
• Hybrid work setup promoting work-life balance.
• Safe working environment across global facilities.