232 Websphere Admin jobs in Ruby, LA

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 Customs and Border Protection Officer 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).
Duty Locations – Incentives available for some locations: You will be asked to provide your preference for one of the following mission-critical locations: Anchorage, AK; Douglas, Lukeville, Nogales and San Luis, AZ; Calexico, Otay Mesa, San Francisco, San Ysidro, and Tecate, CA; Washington, D.C.; Key West and Miami, FL; Honolulu, HI; Chicago, IL; Calais, Eastport, Houlton, Jackman, Madawaska, Van Buren, and Vanceboro, ME; Detroit, Port Huron, and Sault Ste Marie, MI; Grand Portage and International Falls, MN; Raymond, Roosville, Sweetgrass, and Wild Horse, MT; Columbus and Santa Teresa, NM; Alexandria Bay, Champlain, Massena, and Trout River, NY; Dunseith, Pembina, and Portal, ND; Brownsville, Dallas, Del Rio, El Paso, Hidalgo, Laredo, Presidio, and Progreso, TX; Beecher Falls, Derby Line, Highgate Springs, Norton, and Richford, VT; Blaine, Oroville, and Sumas, WA.
You must be a U.S. Citizen to apply for this position.
Education Substitution: A master's (or higher) degree, or two or more years of progressively higher-level graduate education leading to such a degree, or an LL.B. or J.D. from an accredited college or university; OR
Combination of Experience and Education: A combination of specialized experience AND successfully completed graduate-level education. This will be calculated using your resume and official or unofficial transcripts submitted with your application.
Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three (3) of the last five (5) years.
Experience: A minimum of one (1) year of specialized experience equivalent to at least the next lower grade level that includes: Detaining suspected violators of federal, state, or local laws and/or arresting violators using the proper law enforcement methods.; Enforcing the laws and regulations relating to importing, exporting, and/or international shipping to and from the United States.; Utilizing intelligence techniques and behavior analysis to identify potential threats and perform risk assessments for violations of laws and threats to national security.; Conducting interviews in a law enforcement capacity for the purposes of gaining information from suspected violators of laws to determine the appropriate course of action.
Formal Training: You will be required to complete a paid pre-academy orientation for approximately two (2) weeks at your home port. You will then attend a 101-day training program – CBP Field Operations Academy – conducted at the Federal Law Enforcement Training Center (FLETC) located in Glynco, GA. This training consists of basic law enforcement skills, immigration laws, firearms training, examination of cargo/bags/merchandise, physical fitness, etc. Candidates assigned to the southern border, Miami, or Puerto Rico duty locations must attend and pass an online Spanish training program, which will be completed at their home port. Successful completion of the Academy is required for this position.

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Sales Agent - No Experience Needed

Aflac

Ruby, LA

Onsite

Must be 18+ and authorized to work in the U.S.
Must be able to work in-person at a designated Aflac office

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AI Solution Architect

CLECO CORPORATE HOLDINGS LLC

Pineville, LA 71360

Onsite

Strong working knowledge of ModelOps, AI engineering, DevOps, and MLOps practices, including CI/CD pipelines, monitoring, and production support models
A bachelor's degree in computer engineering, computer science, software engineering, artificial intelligence, mathematics, or a related quantitative or natural science discipline is required
Proven experience working with large language models and foundation models, including designing architectures optimized for cost efficiency, scalability, and operational performance
A master's degree or Ph.D. is highly preferred
Skilled in selecting and architecting AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure, AWS), and orchestration technologies (Docker, Kubernetes) for scalable enterprise AI deployments
Or a minimum of five years of experience building and operating production-grade AI/ML systems, including principal-level ownership of MLOps pipelines, model deployment, monitoring, and cloud-native platform architecture in distributed enterprise environments
Strong documentation skills with the ability to produce diagrams, demos and technical artifacts that make AI architectures comprehensible and actionable
A minimum of three years experience building and operating production-grade AI/ML systems, including principal-level ownership of MLOps pipelines, model deployment, monitoring, and cloud-native platform architecture in distributed enterprise environments
Advanced understanding of enterprise integration architectures, APIs, data pipelines, and event-driven systems
Excellent written and verbal communication skills, with the ability to explain complex AI architectures and trade-offs to technical and non-technical stakeholders
Ability to apply AI system testing and validation techniques (e.g., pairwise testing, A/B testing, back-to-back testing) across operating systems and deployment environments
Experience architecting AI solutions incorporating advanced techniques such as natural language processing (NLP), vector databases, knowledge graphs, and retrieval-augmented generation (RAG) architectures

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