QUALIFICATIONS

• Possess at least a Bachelor’s Degree in engineering in Engineering (Electrical, Mechanical, Industrial, Automation), Computer Science, Information Systems, Data Science, or related fields
• Able to think critically with strong analytical skills
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenCV).
• At least 2 years with relevant working experience in manufacturing or industrial automation environments.

Integration Skills:

• Experience integrating various manufacturing systems, automation platforms, and data sources

Development Experience:

• Experience writing, debugging, and maintaining code for automation, data processing, or system integration

Data & AI

Machine Learning:

• Hands-on experience developing, training, and deploying machine learning models for manufacturing or industrial applications.

GenAI Applications:

• Familiarity with Generative AI (GenAI) tools and applications (e.g., GPT, DALL-E, or similar) is a strong plus.

System Integration

Integration Skills:

• Experience integrating various manufacturing systems, automation platforms, and data sources.

Workflow Automation:

• Ability to connect and automate workflows across different systems using APIs and scripting.

Programming & Scripting

Languages:

• Proficiency in at least one programming or scripting language, such as Python, JavaScript, or similar.

Development Experience:

• Experience writing, debugging, and maintaining code for automation, data processing, or system integration.

API & Web Development

API Design & Maintenance:

• Experience designing, developing, and maintaining APIs for workflow automation and system integration.

Web Technologies:

• Basic knowledge of web development (HTML, CSS, JavaScript) for creating or maintaining web forms and dashboards.

External Integration:

• Experience integrating external web forms or eForms with internal systems.