AI Automation Engineer

Job Overview We are seeking an AI & Automation Engineer to develop data-driven solutions, machine learning models, and advanced process control strategies to optimize manufacturing performance and drive operational excellence. The ideal candidate should possess strong programming capabilities, analytical thinking, and a good understanding of manufacturing or process engineering environments. Key Responsibilities Process Optimization & Automation - Identify opportunities to improve manufacturing performance, yield, productivity, and cost efficiency through data-driven solutions. - Develop and implement advanced process control strategies to enhance process stability and equipment performance. - Support the integration of manufacturing data collection and process control workflows. AI, Data Analytics & Machine Learning - Design, develop, and deploy AI and machine learning models to support manufacturing improvement initiatives. - Analyze large volumes of operational and manufacturing data to generate actionable insights. - Develop predictive models and automation solutions to improve operational decision-making. Software & Workflow Development - Build and maintain workflow automation solutions using Python and database technologies. - Develop and enhance operational dashboards and reporting tools to improve visibility across manufacturing operations. - Support the design of scalable software solutions for manufacturing applications. System Integration & Continuous Improvement - Work closely with engineering, manufacturing, IT, and cross-functional teams to implement and support digital transformation initiatives. - Participate in system integration, process enhancement, and automation projects. - Ensure proper documentation, reporting, and maintenance of implemented solutions. DevOps & Application Support - Support software deployment, version control, and application lifecycle management activities. - Contribute to continuous improvement of development and deployment processes. - Assist in maintaining production-critical applications and automation systems. Requirements - Degree in Engineering, Computer Science, Data Science, Information Technology, or a related discipline. - Strong programming experience in Python. - Hands-on experience with SQL and database technologies. - Good understanding of manufacturing operations, process engineering, automation, or process control concepts. - Exposure to AI, machine learning, data analytics, or predictive modelling is highly advantageous. - Familiarity with DevOps practices, CI/CD pipelines, Git, and software deployment methodologies is an advantage. - Strong analytical and problem-solving skills with the ability to interpret complex operational data. - Good communication and stakeholder management skills. - Able to work independently while collaborating effectively within cross-functional teams.