Jobs via Dice

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Prospance Inc., is seeking the following. Apply via Dice today! 
 
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

Python

Amazon

Data

Golang

DevOps

Database

Testing

Automation

Data Science

Continuous Integration

Team collaboration

Manufacturing

Problem solving

Azure

Cloud

Google Cloud Platform

Analysis

Apache Spark

NoSQL

Forecasting

Data analytics

Deep Learning

MLOps

Databricks

Feature Modeling

Data wrangling

Vectorization

Graph Database

Time Series Analysis

Anomaly Detection

SkySpark

raylib

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