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      Java/Full-stack developer - Remote

      SynergisticitTujunga, CA

      Remote

      1046 Java J2ee jobs in Tujunga, CA

      New, Posted 1 day ago
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      Engineering Lead (Java and DevOps exp) - Only W2

      CBTS

      Burbank, CA 91505

      Mgr, Enterprise Programs and Platform Performance

      The Walt Disney Company (Corporate) Careers

      Burbank, CA 91505

      $107,300-$147,500/yr
      Health Insurance
      Recommended
      Sr Machine Learning Engineer

      Disney

      Burbank, CA 91505

      $155,700-$208,700/yr
      ~ 22 min Onsite

      • Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
      • Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
      • Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
      • Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
      • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
      • Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
      • 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
      • Solid foundation in statistics, data analysis, and applied machine learning techniques
      • Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
      • Experience operationalizing models in distributed, production environments
      • Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
      • Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
      • Ability to translate ambiguous operational problems into solvable machine learning use cases
      • Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
      • Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
      • Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
      • Strong communication, collaboration and leadership skills
      SmartExplore AI is experimental.
      Recommended
      Sr Machine Learning Engineer

      The Walt Disney Company (Germany) GmbH

      Burbank, CA 91505

      $155,700-$208,700/yr
      ~ 22 min Onsite

      • Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
      • Demonstrated success designing and building enterprise‑scale systems and reusable software frameworks.
      • Experience working with large‑scale, real‑world datasets (noisy, incomplete, non‑standardized, and evolving)
      • Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands‑on building AI agents.
      • 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
      • Solid foundation in statistics, data analysis, and applied machine learning techniques
      • Proven hands‑on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
      • Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML‑driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
      • Proven hands‑on experience building production‑grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit‑learn, etc.
      • Experience operationalizing models in distributed, production environments
      • Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
      • Ability to translate ambiguous operational problems into solvable machine learning use cases
      • Capable of quickly shifting between detailed, hands‑on work and high‑level strategic thinking.
      • Strong hands‑on experience building and deploying event‑driven or streaming data, machine learning models in production
      • Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
      • Strong communication, collaboration and leadership skills
      SmartExplore AI is experimental.
      New, Posted 1 day ago
      Sales Management Trainee

      Enterprise Rent-A-Car

      Glendale, CA 91205

      $22.68/hr
      ~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

      • This position requires a valid unrestricted drivers license
      • Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
      • Must have a minimum of 1 year experience in sales, customer service, management or leadership
      • We will consider qualified applicants with criminal histories as required by, and consistent with, applicable law
      • Bachelors Degree required
      SmartExplore AI is experimental.

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