Artificial Intelligence ML Architect

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.

We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go!

Job Summary:

As an AI/ML Architect at 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 stakeholders to ensure that our AI/ML solutions meet business needs and technological standards.

In This Role, Your Responsibilities Will Be:

• 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. Ensure seamless operation and performance.
• Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives.
• Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and best practices.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
• Ensure that AI/ML systems comply with security standards and regulatory requirements. Implement best practices for data privacy and protection.

For This Role, You Will Need:

• Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
• Total 10-15 years of industry experience
• More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects.
• Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools.
• Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.
• Experience with Microsoft Azure cloud services and their AI/ML offerings
• Experience with event-handling systems such as Kafka
• Experience with big data technologies and data engineering practices.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications that Set You Apart:

• Prior experience in development of products is essential.
• Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
• Experience with AI/ML model versioning and life cycle management.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of AI ethics and responsible AI practices.