AI Engineer

• Identify and evaluate AI use cases in manufacturing, quality, supply chain, engineering and office workflows.
• Design, develop and deploy AI solutions such as computer vision inspection, OCR, predictive analytics, generative AI assistants and AI agents.
• Work with stakeholders to translate business problems into AI solution requirements, data requirements and measurable outcomes.
• Support data collection, data cleaning, annotation, model evaluation and performance optimization activities.
• Develop AI workflows, prompt strategies, agent logic and integration methods to improve task automation and decision support.
• Collaborate with digitalization and automation teams to integrate AI solutions into MES, ERP, vision systems, office tools and production workflows.
• Conduct testing, validation and monitoring of deployed AI solutions to ensure reliability, accuracy and usability.
• Troubleshoot AI model, data or workflow issues and drive continuous improvement actions.
• Provide user training, technical documentation and adoption support for deployed AI tools.
• Ensure AI solutions are aligned with business objectives, compliance requirements and data governance expectations.
• The ability to perform independently and as part of a team.
• Must be able to influence and negotiate with people and resolve issues/problems.
• Communicate recommendations and decisions across the organization.
• Demonstrated ability to lead in a fast-paced technical environment, absorb technical information, review technical information and make technical decisions.

• Bachelor Degree in Computer Science, Artificial Intelligence, Data Science, Automation, Engineering or related field; Master degree is preferred.

• 3-5 years direct experience in AI engineering, data science, machine learning, computer vision or intelligent automation role.
• Experience in biotech, pharmaceutical, manufacturing or industrial AI application is preferred.
• Direct experience in computer vision, OCR, machine learning model deployment, LLM application or AI-agent development is preferred.
• Familiarity with Python and common AI or ML frameworks and deployment workflows is preferred.
• Experience with manufacturing, quality or supply chain business scenarios is highly preferred.
• Proficient with Microsoft tools; Word, Excel, Power Point; experience with Python, SQL, Power BI or AI platforms is preferred.
• Strong analytical, problem solving and teamwork skills are required.
• Experience with structured problem solving and model performance analysis.
• Ability to analyze and process data and draw the appropriate conclusions.
• Demonstrated knowledge of AI lifecycle management, model validation and continuous improvement methodologies.
• Experience prioritizing conflicting demands.
• Excellent interpersonal, organizational, and influencing skills.
• Experience working with cross-functional teams and facilitating teams to identify and implement solutions to complex problems.
• Excellent oral and written communication skill in English, be able to work in a multicultural environment.
• Practical experience in integrating AI tools with enterprise or manufacturing systems is preferred.
• Ability to achieve goals independently within a challenging time frame.

• Number of AI solutions deployed and adopted.
• AI model or workflow accuracy and stability.
• Productivity or HC saving enabled by AI.
• Defect detection improvement or decision efficiency improvement.
• User adoption and business impact of AI solutions.

Thermo Fisher Scientific