Job Overview: Designs and implements AI and machine learning solutions to improve manufacturing and business processes Works with cross-functional teams to integrate AI into production systems and decision-making Supports full AI lifecycle from development to deployment and continuous improvement Responsibilities: Develop and deploy machine learning models and AI applications using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments Analyze large datasets to identify trends and optimization opportunities Build and maintain data pipelines and AI systems Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages Define and track KPIs for AI solutions Financial Responsibilities: Support budget tracking and ROI evaluation for AI projects Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders Perform root cause analysis using AI techniques Ensure data governance and compliance Document models and provide training Manage AI-related projects and timelines Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI Qualifikationen Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 3-5 years of AI/ML or data engineering experience preferred Manufacturing or automotive experience preferred Knowledge & Skills: Machine learning frameworks (TensorFlow, PyTorch) Programming in Python or similar Cloud platforms experience (Azure, AWS) Data analysis and database knowledge Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands-on experience in model training and deployment Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles Knowledge of natural language processing techniques and applications in real-world scenarios Strong analytical and problem-solving skills with the ability to interpret complex data sets effectively We are all in for change. Are you too? Apply now If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING Mercedes-Benz Vans, LLC ("MBV Charleston") is a Ladson, South Carolina-based production entity that manufactures Sprinter vans for the U.S. and Canadian markets The Sprinter plant officially opened in 2018 and serves as a key part of the Mercedes-Benz Vans global production network. MBV Charleston was selected as the first plant in this network to produce the all-new eSprinter, beginning in 2024. The company also continues to invest in the local community through donations to non-profits and schools, as well as active support of STEM education initiatives and volunteer programs Since 2006, Sprinter and Metris vans have been assembled in North Charleston and delivered to destinations across the United States. In 2025, the plant celebrated the assembly of the 5,000,000th Sprinter in the Mercedes-Benz global production network. The U.S. remains the second largest market for Sprinter vans after Germany https://mbvcharleston.com/