2105 Applied Ai Ml Associate jobs in Houston,TX

Citizenship: You must be a U.S. Citizen to apply for this position.
Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years.
Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d).
Border Patrol work requires the ability to speak and read Spanish, as well as English.
Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR
Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR
Combination of Experience and Education: A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application.
One year of specialized work experience that shows you have the skills necessary to: Make sound judgments and decisions in the use of firearms.
Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters.
Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc.
The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants.
Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, for forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; **OR
A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application.
RELOCATION MAY BE REQUIRED.

SmartExplore AI is experimental.

Apply Directly

Senior Machine Learning Engineer

Houston, TX 77002

HybridFlexible Schedule

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.

SmartExplore AI is experimental.