AI/ML Architect

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 customers 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 multi-functional teams, including developers, data scientists, machine learning engineers, and business customers, 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 standard methodologies.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
• Ensure that AI/ML systems align with security standards and regulatory requirements. Implement bstandard methodologiesfor data privacy and protection.

Who You Are:

You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

For This Role, You Will Need:

• in computer science, Data Science, Statistics, or a related field or a 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 technologies and data engineering practices.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical

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.
• Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry .

Our Offer to You:

By joining Emerson, you will be given the opportunity to make a difference through the work you do.

Emerson's compensation and benefits programs are designed to be competitive within the industry and local labor markets . We also offer a comprehensive medical and insurance coverage to meet the needs of our employees.

We are committed to creating a global workplace that supports diversity, equity and embraces inclusion . We welcome foreign nationals to join us through our Work Authorization Sponsorship .

We attract, develop, and retain exceptional people in an inclusive environment, where all employees can reach their greatest potential . We are dedicated to the ongoing development of our employees because we know that it is critical to our success as a global company.

We have established our Remote Work Policy for eligible roles to promote Work-Life Balance through a hybrid work set up where our team members can take advantage of working both from home and at the office.

Safety is paramount to us, and we are relentless in our pursuit to provide a Safe Working Environment across our global network and facilities.

Through our benefits, development opportunities, and an inclusive and safe work environment, we aim to create an organization our people are proud to represent.