Machine Learning Engineer

Hiring: Staff AI/ML Engineer & Data Scientist (Contract) – Manufacturing Industry (Only W2) We are a specialized consulting firm that partners with enterprise clients to deliver top engineering talent. We’re seeking a Staff-level AI/ML Engineer & Data Scientist with deep expertise in traditional ML, deep learning, and MLOps to support a leading organization in the manufacturing industry. This role will design, deploy, and operationalize production-grade ML systems, while guiding best practices, architecture, and performance standards. If you enjoy building scalable pipelines, solving complex data challenges, and driving measurable business impact — we’d love to speak with you. ✅ Location Hybrid — Occasional onsite visits required to Normal, IL (initial scoping + periodic collaboration) 🧠 What You’ll Do • Lead end-to-end ML lifecycle: data prep, feature engineering, training, validation, deployment, monitoring • Architect scalable ML pipelines and APIs (Python primary; Golang for backend integration) • Implement enterprise-grade MLOps: CI/CD, automated retraining, versioning, drift detection, rollback • Apply statistical analysis: hypothesis testing, Bayesian methods, model explainability • Build anomaly detection and forecasting models utilizing unlabeled sensor/manufacturing data • Collaborate cross-functionally with engineering, product, and analytics teams 🔧 Core Skills Needed • Databricks MLOps, Databricks AI/ML • AWS MLOps & DevOps • Database setup + automation experience • Feature engineering & hyper-parameter tuning • Strong data preprocessing for unlabeled datasets • Experience integrating VectorDBs & GraphDBs 📌 Must Have Qualifications • Master’s degree or PhD (mandatory) • 8+ years experience in applied ML/Data Science • 3+ years in a Senior/Staff lead capacity • Python expert (bonus: Golang experience) • Proven experience deploying traditional ML to production • Strong SQL + NoSQL fundamentals • Model monitoring, drift detection, and retraining strategies ⭐ Preferred Experience • Retrieval-augmented generation (RAG) • Time-series & anomaly detection • Spark/Ray for distributed computing • AWS/Azure/GCP deployments • PLC/manufacturing sensor data exposure (big plus) 🧩 Soft Skills • Excellent communicator across technical + business audiences • Strategic problem solving focused on measurable outcomes • Ability to influence architecture and process decisions #ai #machinelearning #datascience #mlops #databricks #aws #contractjobs #manufacturingjobs #anomalydetection #timesseries #hiringnow #careers #python #cloudcomputing #recruiting