Machine Learning / GenAI Engineer

• Job description for Machine Learning / GenAI Engineer at Mindteck
• Machine Learning/GenAI Engineer x2
• Focus: Smart Manufacturing & AI Solutions

Core Responsibilities

• To design, develop, and deploy advanced AI/ML and Generative AI (GenAI)  solutions that optimize manufacturing operations in a high-volume drive production environment.
• This role focuses on leveraging machine learning, predictive analytics, and automation to improve yield, reduce downtime, and enable smart factory capabilities aligned with Industry 4.0 principles.
• Model Development & Deployment
• § Build and implement machine learning models for predictive maintenance, anomaly detection, and process optimization.
• § Develop GenAI-powered applications for automated reporting, intelligentchatbots, and simulation of manufacturing scenarios.
• § Translate research-level algorithms into production-ready solutions using MLOps best practices.
• Data Engineering & Integration
• § Develop robust data pipelines to collect, clean, and transform sensor, MES, and IoT data for model training and inference.
• § Integrate AI models with factory control systems and MES for real-time decision-making.
• Predictive Analytics & Quality Control
• § Apply AI techniques to forecast equipment failures, optimize production schedules, and enhance product quality.
• § Use computer vision and deep learning for automated defect detection and quality assurance.
• Automation & Continuous Improvement
• § Implement AI-driven workflows and GenAI-based conversational assistants to reduce manual interventions and accelerate cycle times.
• § Monitor model performance, detect drift, and automate retraining processes.
• Collaboration & Reporting
• § Work closely with engineers and IT teams to align AI and GenAI solutionswith factory goals.
• § Communicate insights and recommendations to stakeholders throughdashboards and