Machine Learning Engineer

Job Details Machine Learning Engineer – Allen Park, MI Job ID: 64123 Job Category: Information Technology Position Type: Contract Duration: Long Term Remaining Positions: 1 Posted: 6/17/2026 Job Description We are looking for a candidate who is responsible for predicting and/or extracting meaningful trends, patterns, and recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, and related techniques. Key Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data‑driven decision‑making. Design and implement data analysis and ML models, hypotheses, algorithms, and experiments to support data‑driven decision‑making. Apply various analytics techniques such as data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models, and algorithms to analyze data and uncover meaningful patterns, relationships, and trends. Design efficient data loading, data augmentation, and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. Research, study, and stay updated in the domain of data science, machine learning, analytics tools and techniques, and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. Job Requirements Skills Required: J2EE, Logistics, Python, Machine Learning Skills Preferred: AIPGEE, Advanced Data Migration, API, Data Management Experience Required: 5+ years of experience in a relevant field. Fully Functional Middleware API: A production‑ready middleware layer that ingests, aggregates, and exposes the 6 core operational data points. Agentic AI Orchestrator: A deployed multi‑agent system that autonomously monitors the middleware data, flags anomalies, and generates structured recommendation JSON payloads. Human‑in‑the‑Loop (HITL) Dashboard Integration: APIs and webhooks that feed the AI’s reasoning, recommendations, and confidence scores into our front‑end application. Co‑Developed Codebase: A clean, modular, and fully tested Git repository co‑authored with our internal team. Coaching Playbook: A comprehensive training package and transfer‑of‑ownership document for our internal engineering and product teams. Experience Preferred: Automotive Supply Chain - Logistics Education Required: Bachelor’s Degree Education Preferred: Certification Program Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives. Pay Range $61.00 - $66.00 #J-18808-Ljbffr