91 Emergency jobs in Houston,TX

Security Officer Armed - Security

CHRISTUS Health - Houston, TX

CHRISTUS Health

Houston, TX 77023

High School diploma or equivalent
3 years related experience
Texas Driver's License
Ability to read and interpret blueprints, diagrams and written specifications
Ability to mount, connect, and adjust components, i.e., transformers, motor electrodes, relays, solenoids, etc.
Must display initiative and good judgment

NewRez

Houston, TX 77084

Experience in collections required
Familiarity with maneuvering around the Internet through various skip tracing sites
Familiarity with loan terminology, rights, and processes
Excellent work ethic, high productivity, and attention to detail
Superior verbal communication and negotiation skills
Flexibility to work weekends required
Must take the writing assessment provided
Ability to multitask is required
Superior typing and computer skills required
High school graduate, college degree preferred but not required

The Copper River Family of Companies

Houston, TX 77084

CoolSys

Houston, TX 77069

High school diploma/GED.
EPA certification.
Minimum 5+ years of commercial refrigeration experience required.
Must have a good driving record and be able to work independently.
Emergency on-call availability is a basic requirement.
Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time.
Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions.

McKesson Careers

The Woodlands, TX 77375

Houston, TX 77002

MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
Hands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.
Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions.
Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.
Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.
Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).
Advanced SQL knowledge.
Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.
Knowledge of experimental design, analysis, and scientific methodology.