AI Developer/Project Manager
Indexed description
The ideal candidate will combine technical AI expertise with strong project leadership skills, working cross-functionally with operations, quality, engineering, and leadership teams to deliver scalable, high-impact solutions. This is a unique opportunity to modernize a fast-paced manufacturing environment through practical, results-oriented AI applications.
- Identify opportunities to apply AI, machine learning, and automation to improve manufacturing throughput, quality, and cost efficiency
- Lead end-to-end project management for AI initiatives, from concept through deployment and continuous improvement
- Develop, test, and deploy AI models and tools (e.g., predictive maintenance, demand forecasting, quality inspection, workflow automation)
- Collaborate with production, engineering, and IT teams to integrate AI solutions into existing systems and processes
- Analyze operational data to identify trends, inefficiencies, and opportunities for optimization
- Translate business needs into technical requirements and actionable solutions
- Manage project timelines, budgets, vendor relationships, and stakeholder communication
- Build dashboards, reporting tools, and data pipelines to support real-time decision-making
- Ensure solutions are scalable, secure, and aligned with organizational goals
- Provide training and change management support to drive adoption across the workforce
- Stay current on emerging AI technologies and recommend practical applications for the business
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
- 2-7 years of experience in AI/ML development, data analytics, or automation
- Proven project management experience delivering technology or process improvement initiatives
- Experience working in manufacturing, supply chain, or industrial environments a plus
- Proficiency in programming languages such as Python, along with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong understanding of data analysis, data pipelines, and visualization tools (e.g., Power BI, Tableau)
- Ability to communicate complex technical concepts to non-technical stakeholders
- Strong organizational, problem-solving, and leadership skills
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