Manufacturing 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. Please send your detailed resume in MS Word format to resume@goldtecHRs.com with • Education Level • Working experiences • Each employment background • Reason for leaving each employment • Last drawn salary • Expected salary • Date of availability