634 Computer Engineer jobs in Ducor, CA
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Software Program Manager

Archer

Ducor, CA

Onsite

  • Understanding of software development process and experience with embedded software development
  • Bachelor's degree in Engineering, Mathematics, Physics, or in a related field or equivalent industry experience
  • Minimum 4 years related New Product Introduction (NPI) experience in aerospace, automotive, or related industry
  • Project management and/or technical leadership experience
  • Thorough understanding of engineering product development including design phases, manufacturing processes and global supply chain management
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Enterprise Risk & Controls- IT Audit- Senior Manager

PwC

Ducor, CA

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering, Accounting & Technology, Mathematics
  • 7 years of experience
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SECTION MANAGER, INFORMATION TECHNOLOGY, SYSTEMS PROGRAMMING, ISD (CYBERSECURITY)

County Of Los Angeles

Ducor, CA

OnsiteFlexible SchedulePaid Time OffRetirement Benefit

  • Two years of experience, within the last three years, at the level of Los Angeles County's class of Section Manager, Information Technology, ISD
  • A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
  • OR - Information Technology Specialist, ISD performing information security management functions with any of the following solutions: secure access, email security, secure endpoint, network security, application security, or vulnerability management.
  • One year of the required experience must have been as a project or team leader providing task direction and staff development.
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Quality Manager

NOV

Bakersfield, CA

$78,000-$84,000/yr
~ 43 min Onsite

  • Quality Manager
  • Strong mathematical aptitude required
  • Must pass a drug screen and background check
  • Minimum 5 years of QA/QC experience, including 3 years in a supervisory role
  • Associate's Degree required
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Machine Learning Engineer, Consultant

Jobot Consulting

Bakersfield, CA

$75-$150/hr
Remote

  • Version Control Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration
  • Continuous Integration/Continuous Deployment (CI/CD) Pipelines Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes
  • Production Deployment and Model Engineering Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability
  • Engineering Leadership Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions
  • Collaboration Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models
  • Documentation Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations
  • AI Pipeline Development Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements
  • Monitoring and Logging Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance
  • Security and Compliance Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations
  • Scalable ML Infrastructures Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure
  • 3 or more years relevant Machine Learning Engineer Experience
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