Industrial AI Expert

Overview: 

The Industrial AI Expert is responsible for designing, developing, deploying, and managing advanced 

Industrial AI solutions across multiple industrial domains and use cases. The role serves as a subject 

matter expert in Industrial AI, applying deep technical expertise to build scalable, production-ready AI 

applications that improve operational performance, reliability, safety, and efficiency. The position 

focuses on the end-to-end engineering lifecycle of Industrial AI products, including solution 

architecture, model development, deployment, integration, monitoring, and continuous optimization. 

The role collaborates closely with cross-functional teams and provides technical guidance and 

knowledge sharing while remaining an individual contributor without direct people management 

responsibilities.

Key Responsibilities: 

• Design, develop, deploy, and maintain Industrial AI applications and products across diverse 

industrial use cases and operational environments.

• Engineer and implement AI and machine learning solutions for predictive maintenance, 

anomaly detection, frontline diagnostics, corrosion prediction, production optimization, and 

energy optimization.

• Develop intelligent digital assistants and autonomous operational workflows that enhance 

industrial decision-making and operational efficiency.

• Translate business requirements and operational challenges into scalable, production-grade 

AI solutions and technical architectures.

• Design and implement data pipelines, feature engineering processes, and model deployment 

frameworks that support reliable AI operations.

• Integrate AI solutions with industrial systems, operational technologies, and enterprise 

platforms while ensuring interoperability and scalability.

• Monitor model performance, manage model lifecycle activities, and continuously optimize 

solutions to maintain accuracy and business value.

• Apply MLOps and AI engineering best practices to improve solution reliability, maintainability, 

and deployment efficiency.

• Conduct technical assessments, proof-of-concepts, and feasibility studies for emerging 

Industrial AI technologies and use cases.

• Troubleshoot complex technical issues and provide expert guidance on AI solution design, 

implementation, and optimization.

• Contribute to engineering standards, reusable frameworks, and best practices to promote 

technical excellence and knowledge sharing across teams.

• Collaborate with domain experts, data engineers, product teams, and business stakeholders 

to ensure successful solution delivery and adoption.

Qualifications:

Education: 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Computer 

Engineering, Electrical Engineering, Industrial Engineering, or related discipline (Master is 

preferred)

• Professional certifications in Artificial Intelligence, Machine Learning, Cloud Platforms, Data 

Engineering, or MLOps are advantageous

Experience: 

• 8–12 years of experience software engineering, data science, artificial intelligence, or machine 

learning engineering.

• Demonstrated experience in developing and deploying Industrial AI solutions in industrial, 

manufacturing, energy, utilities, or asset-intensive environments.

• Hands-on experience across the full AI solution lifecycle, from data acquisition and model 

development to deployment and operational monitoring.

• Experience delivering production-grade AI applications involving industrial analytics and 

operational optimization use cases.

Skills & Competencies:

• Artificial Intelligence and Machine Learning Engineering

• Industrial Analytics and Predictive Modeling

• MLOps and AI Lifecycle Management

• Cloud-Based AI Platforms and Distributed Computing

• AI Solution Architecture and Systems Integration

• Industrial Data Platforms and Operational Technologies