213 Associate Computer Science jobs in Dry Prong, LA

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      LEAD SALES ASSOCIATE-FT in JONESVILLE, LA S03264

      Dollar General

      Jonesville, LA 71343

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      Security Officer Armed - Security

      CHRISTUS Health

      Alexandria, LA 71301

      • Expandable Baton training, defensive tactics training, firearms training, weapon qualification, and firearms retention training must be completed prior to letter of authorization to carry is issued
      • * One or more chargeable accidents within a 12-month period. Chargeable means the driver is determined to be the primary cause of the accident.
      • * One or more moving violations within a 12-month period.
      • * Violations include any ticket, charge, or other law enforcement proceeding related to these, as well as independent evidence of violations deemed relevant by CHRISTUS Health Security.
      • Candidates must maintain an acceptable driving record to meet CHRISTUS Health standards for positions requiring driving. An unacceptable record includes, but is not limited to:
      • BLS required within 60 days of hire
      • Successful completion of all pre-employment and post offer assessments to include the Minnesota Multiphasic Personality Inventory -2 (MMPI-2-RF-PCIR); the California Psychological Inventory (CPI); the Police and Public Safety Selection Report (PPSSR); the Personal Experience Inventory (PEI) and a clinical interview by a third personal psychologist
      • High School Diploma or its equivalent required
      • * Contributing factors such as weather or mechanical issues will be considered.
      • Valid Driver's license required
      • Verbal De-escalation training must be completed within 60 days of hire
      • Minimum two (2) years of armed security experience (may substituted by Honorable Military Service) preferred
      • Will be required to take random drug test screening
      • * Any combination of accidents and/or moving violations.
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      Bomb Technician

      US Navy

      Colfax, LA 71417

      Education AssistanceHealth InsuranceRetirement Benefit
      AI Solution Architect

      CLECO CORPORATE HOLDINGS LLC

      Pineville, LA 71360

      ~ 21 min 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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