Machine learning engineer [h1.location_city]
[job_alerts.create_a_job]
Machine learning engineer • lubbock tx
- [promoted]
Machine Learning Engineer
VirtualVocationsLubbock, Texas, United States- [promoted]
Machine Operator
Allied Stone IncLubbock, TX, US- [promoted]
Machine Operator I
Custom Pipe & FabricationLubbock, TX, US- [promoted]
- [new]
Online Learning Programs Lead
Texas Tech UniversityLubbock, TX, United States- [promoted]
Engineer / Draftsman
Patriot Acquistions LLCWolfforth, TX, United States- [promoted]
Power Design Engineer
SGS EngineeringLubbock, TX, US- [promoted]
Mechanical Engineer
J&B Industrial ServicesLubbock, TX, US- [promoted]
Nuclear Engineer
US NavyLubbock, TX, US- [promoted]
Network Provisioning Engineer
SegraLubbock, TX, United States- [promoted]
Data Engineer I
AgTexas Farm Credit ServicesLubbock, TX, United StatesStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseTexas, United States- [promoted]
Site Development Engineer
ParkhillLubbock, TX, United States- [promoted]
RF Test Engineer
Vets HiredLubbock, TX, US- [promoted]
Machine Field Tech II
Warren Equipment CompanyLubbock, TX, United States- [promoted]
OSP Engineer
John Staurulakis (jsitel.com)Lubbock, TX, USDish Machine Operator Jobs : Hiring Immediately! Full Time / Part Time - $12-$22 / Hr
MyJobsCornerLubbock, Texas, USRemote Machine Learning Engineer - AI Trainer ($100-$120 per hour)
MercorLubbock, Texas, USMachine Operator
Albertsons CompaniesLubbock, TX, United StatesMachine Operator - 1 - SPS
Loram Maintenance of WayLubbock, TX, USMachine Learning Engineer
VirtualVocationsLubbock, Texas, United States- [job_card.full_time]
A company is looking for a Machine Learning Engineer, Risk & Fraud.
Key Responsibilities
Build and iterate on real-time fraud / risk models to support Risk decisioning
Own the full ML lifecycle for fraud detection models, including data exploration and deployment
Design evaluation strategies for imbalanced data and partner with teams to productionize models
Required Qualifications
3+ years of experience as a Machine Learning Engineer or in a similar applied ML role
Strong Python skills with hands-on experience in building supervised ML models
Proven ability to design and run robust experimentation under real-world constraints
Experience in taking models to production and supporting the full model lifecycle
Solid knowledge of ML metrics and their business implications