AI Automation Specialist

CMH METLABS · Karachi, Karachi District; Sindh, Pakistan

Job Description

CMH METLABS is a full-service chemical testing and metallurgy laboratory supporting industrial, manufacturing, construction, aerospace, and energy clients with advanced metal analysis, mechanical testing, and non-destructive testing services.

We are seeking an AI Automation Specialist to help improve operational efficiency through practical automation, intelligent workflows, and data-driven solutions. The role will work with laboratory, operations, and business stakeholders to identify repetitive processes, design reliable automations, and support responsible adoption of AI tools in a quality-focused technical environment.

• Assess existing workflows and identify opportunities for automation, process standardization, and productivity improvement.
• Design, build, test, and maintain AI-assisted workflows, integrations, and business process automations.
• Connect systems, forms, documents, and data sources using APIs, automation platforms, scripts, and structured data practices.
• Develop prompts, validation rules, documentation, and monitoring controls to improve the accuracy and consistency of AI outputs.
• Collaborate with laboratory and administrative teams to gather requirements, provide training, and support adoption.
• Monitor automation performance, troubleshoot issues, and maintain appropriate controls.

Job Specification

• Hands-on experience with AI tools, workflow automation, and business process improvement.
• Strong understanding of prompt design, generative AI capabilities, output validation, and responsible AI use.
• Practical programming or scripting ability in Python, JavaScript, or a comparable language.
• Experience working with APIs, webhooks, JSON, spreadsheets, databases, and system integrations.
• Ability to map processes, identify bottlenecks, define requirements, and translate business needs into dependable solutions.
• Familiarity with automation platforms such as Power Automate, Zapier, Make, n8n, or similar tools.
• Knowledge of data privacy, access control, version management, testing, monitoring, and error handling.
• Strong analytical, documentation, communication, and stakeholder collaboration skills.
• Ability to learn laboratory workflows and maintain accuracy in a quality-sensitive technical environment.