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3 results for Data Scientist in Orange, CA

AI Engineer
  • Los Angeles, CA
  • onsite
  • Permanent
  • 110000.00 - 120000.00 USD / Yearly
  • <p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
  • 2025-11-20T16:53:46Z
Machine Learning Engineer
  • El Segundo, CA
  • onsite
  • Permanent
  • 150000.00 - 175000.00 USD / Yearly
  • <p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
  • 2025-12-04T16:44:44Z
AI Architect
  • Glendale, CA
  • onsite
  • Temporary
  • 93.00 - 96.00 USD / Hourly
  • We are looking for an experienced Information Architect to join our team on a long-term contract in Glendale, California. In this role, you will leverage your expertise to design and implement innovative solutions that enhance business operations and drive technological advancements. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate across various teams to deliver impactful results.<br><br>Responsibilities:<br>• Collaborate with stakeholders to identify needs and conceptualize scalable solutions using Generative AI technologies.<br>• Develop and implement AI-driven applications, ensuring optimal performance and alignment with business objectives.<br>• Architect end-to-end solutions, including model selection, training approaches, and deployment strategies.<br>• Conduct thorough evaluations of emerging AI technologies to assess feasibility and applicability.<br>• Lead testing and optimization processes to refine the functionality and efficiency of AI applications.<br>• Provide strategic guidance to align AI solutions with organizational goals and industry standards.<br>• Execute proof-of-concept projects to validate AI solutions and their impact.<br>• Optimize database queries and ensure seamless integration with existing systems.<br>• Oversee the implementation of ethical considerations in all AI-related projects.<br>• Collaborate across teams to ensure seamless development and deployment of solutions.
  • 2025-12-02T15:38:35Z