Data Science and Machine Learning Specialist

You will work on cutting-edge multi-agent AI systems leveraging LLMs (GPT, Gemini, Claude) to generate recommendations, detect anomalies, and improve decision-making across logistics and inventory management.

What You’ll Do

• Design and deploy machine learning models to improve inbound logistics and supply chain efficiency
• Develop agentic AI systems that:
  • Monitor transportation ecosystem health
  • Generate actionable recommendations for operations
  • Support cross-plant inventory optimization
• Build and integrate middleware APIs and data pipelines that aggregate operational data
• Implement predictive, prescriptive, and anomaly detection models
• Collaborate in Agile/Scrum teams (JIRA, standups, sprint work)
• Contribute to team demos and solution showcases
• Deliver production-ready, scalable ML solutions, not just prototypes
• Support knowledge transfer and enablement of AI capabilities within the team

Required Qualifications

• 5+ years of experience in Data Science, Machine Learning, or ML Engineering
• Proven experience building AND deploying models into production
• Strong expertise with:
  • Python & Machine Learning frameworks
  • Agentic AI / LLM-based systems (or strong GenAI exposure)
  • Supply chain, logistics, or operations analytics
• Experience designing end-to-end ML solutions, from data ingestion to deployment
• Ability to translate business needs into data-driven solutions

Preferred Qualifications

• Experience with LLM integration and orchestration (GPT, Claude, Gemini)
• Knowledge of API development / middleware systems
• Automotive or supply chain domain experience
• Familiarity with:
  • Data pipelines & data management
  • Advanced analytics and optimization techniques