AI/ML Engineer With our direct client in Normal, IL (Remote) Only W2

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Hiring: Staff AI/ML Engineer & Data Scientist (Contract) Manufacturing Industry

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/Google Cloud Platform 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