217 Game Developer jobs in Georgetown, LA

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      Sales Representative

      Aflac

      Georgetown, 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
      SmartExplore AI is experimental.
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      Entry-Level Border Patrol Agent – $20,000 Sign-On Bonus

      United States Customs and Border Protection

      Georgetown, LA 71432

      $49,739-$89,518/yr
      $20,000 bonus
      Bilingual PreferredHealth InsurancePaid Time OffRetirement Benefit
      New, Posted 1 day ago
      AI Solution Architect

      CLECO CORPORATE HOLDINGS LLC

      Pineville, LA 71360

      ~ 38 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
      SmartExplore AI is experimental.

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