Data Science and Machine Learning Specialist

Machine Learning Engineer | Supply Chain Agentic AI Systems DEARBORN, MI (HYBRID) W2 CONTRACT ONLY OPEN RATE Overview Responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. 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