AI Champion

The AI Champion will help identify, evaluate, and implement AI use cases across manufacturing operations producing inverters, lead acid batteries, and lithium-ion batteries. The role will partner with operations, quality, maintenance, IT, and external vendors to convert business pain points into practical AI solutions that improve productivity, quality, uptime, and decision-making.

Key Responsibilities

• Identify and prioritize AI use cases across finance, supply chain, planning sales and service, production, quality, maintenance and HR
• Work with plant and functional teams to translate operational issues into structured problem statements, business cases, and measurable outcomes.
• Support vendor scouting, evaluation, and selection for AI/automation solutions, including proof-of-concept review and implementation fit assessment. Careers.
• Coordinate pilot execution, user feedback, testing, rollout, and adoption tracking.
• Assist in data extraction, cleansing, analysis, and feature preparation for AI/ML models.
• Build or support dashboards, workflows, and lightweight applications for operational use.
• Track ROI, adoption, and business impact of implemented AI initiatives.
• Promote AI awareness and adoption across site teams through demos, training, and change support.

Profile

The ideal candidate will have 23 years of relevant experience in AI, data analytics, software development, automation, or manufacturing digital transformation. The role requires a hands-on mindset, strong analytical ability, and the ability to work across both business and technical teams. Exposure to manufacturing or industrial operations will be an advantage.

Technical Skills

• Python.
• SQL.
• C++.
• HTML and JavaScript.
• Machine learning and deep learning.
• Generative AI.
• Full-stack development.
• DevOps concepts.
• Data analysis and visualization.

Education

• Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, or a related field.
• Equivalent practical experience may also be considered.

Experience Required

• 2–3 years of relevant experience in AI, analytics, software development, or industrial digital transformation.
• Experience in identifying use cases, developing prototypes, or supporting solution implementation.
• Experience in working with vendors, system integrators, or technology partners will be preferred.

Preferred Qualifications

• Experience with manufacturing datasets, ERP/MES data, quality data, sensor data, or production systems.
• Exposure to computer vision, forecasting, anomaly detection, or GenAI applications.
• Understanding of OT/IT environments in industrial operations.
• Familiarity with vendor evaluation, proof-of-concepts, and solution implementation cycles.