
201 - 500 employees
Founded 1993
💼 Consulting
📦 Logistics
🚘 Automotive
Consulting • Logistics • Automotive
GVW Group is a dynamic industrial holding company founded in 1993, dedicated to investing in, growing, and starting businesses across diverse industries including manufacturing, distribution, technology, big data, engineering, and energy efficiency. The company leverages great people and great technology to build scalable early stage, high growth, and mid-sized businesses. GVW Group operates globally and incorporates a proactive, results-driven approach to create value, often by working with existing management teams and fostering an entrepreneurial environment. The company has invested in heavy-duty commercial vehicle manufacturing, IT, and sustainable, environment-friendly products. With companies like Autocar, Aculocity, and GreenOhm, GVW Group supports its affiliates by seeking advanced technology opportunities that can penetrate new markets.
🔥 0 minutes ago
🏈 Alabama, Idaho, +3 more states – Remote
⏱ Part Time
🟢 Junior
🟡 Mid-level
🤖 Artificial Intelligence
🚫👨🎓 No degree required
👻 Ghost score 10%
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201 - 500 employees
Founded 1993
💼 Consulting
📦 Logistics
🚘 Automotive
Consulting • Logistics • Automotive
GVW Group is a dynamic industrial holding company founded in 1993, dedicated to investing in, growing, and starting businesses across diverse industries including manufacturing, distribution, technology, big data, engineering, and energy efficiency. The company leverages great people and great technology to build scalable early stage, high growth, and mid-sized businesses. GVW Group operates globally and incorporates a proactive, results-driven approach to create value, often by working with existing management teams and fostering an entrepreneurial environment. The company has invested in heavy-duty commercial vehicle manufacturing, IT, and sustainable, environment-friendly products. With companies like Autocar, Aculocity, and GreenOhm, GVW Group supports its affiliates by seeking advanced technology opportunities that can penetrate new markets.
• Build AI-powered applications using Large Language Models (LLMs) • Develop intelligent AI agents and enterprise copilots • Apply machine learning to operational and business challenges • Design proof-of-concepts using emerging AI technologies • Explore Retrieval-Augmented Generation (RAG) and enterprise knowledge management • Work with real-world enterprise datasets to uncover insights and improve decision-making • Develop predictive, optimization and analytics solutions • Collaborate with multidisciplinary teams to deliver innovative AI solutions • Research and evaluate emerging AI tools, frameworks and techniques • Contribute to real enterprise AI initiatives across manufacturing, commercial vehicles, engineering, supply chain, finance and digital operations
• Currently enrolled in, or recently completed, an undergraduate or graduate program in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Computer Engineering, Information Systems, Mathematics, Statistics or a related quantitative discipline • Strong academic performance and a demonstrated passion for learning • Strong technical problem-solving ability, with programming experience; Python is a plus • A solid foundation or strong interest in Agentic AI, Applied AI, Data Science, machine learning, analytics, algorithms or statistics • Strong analytical thinking and problem-solving skills • Ability to communicate effectively and collaborate within multidisciplinary teams • Curiosity, creativity and a desire to explore AI technologies • Genuine interest in applying AI to create measurable business value • Legally authorized to work in the United States • Beneficial but not required: Generative AI and Large Language Models, prompt engineering, machine learning frameworks, SQL and data analytics, APIs, software integration, automation, enterprise platforms, Microsoft Fabric, Power BI or modern analytics platforms
• Paid associate program • Approximately 20 hours per week • Flexible scheduling to accommodate academic commitments • Mentorship from experienced AI Engineers, Data Scientists and business leaders • Exposure to enterprise-scale AI, data and digital transformation initiatives • Access to modern AI platforms, cloud technologies and enterprise data environments • Professional networking opportunities across Aculocity and the GVW Group • Potential future employment opportunities following successful completion of the associate program
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