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AI Architect

1 month ago

San Francisco, California, United States Unreal Gigs Full time
Job Title: AI Architect

Unreal Gigs is seeking an experienced AI Architect to lead the design and implementation of end-to-end AI architectures that support machine learning models, deep learning algorithms, and other AI technologies. The ideal candidate will have a strong background in AI and machine learning, with expertise in designing scalable AI systems that can handle large datasets and complex algorithms.

Key Responsibilities:
  • AI System Design and Architecture: Lead the design and implementation of end-to-end AI architectures that support machine learning models, deep learning algorithms, and other AI technologies.
  • Technology Evaluation and Selection: Evaluate and select the right AI tools, frameworks, and platforms to meet the specific needs of each project.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, machine learning engineers, and software developers to integrate AI models into products and services.
  • Scalability and Performance Optimization: Design AI systems that can scale efficiently to handle large datasets and increasing workloads.
  • Data Pipeline and Integration: Collaborate with data engineers to build robust data pipelines that support the training and deployment of machine learning models.
  • AI Governance and Security: Implement best practices for AI governance, including model explainability, fairness, and security.

Requirements:

  • AI and Machine Learning Expertise: Deep knowledge of AI technologies, including machine learning, deep learning, natural language processing (NLP), and computer vision.
  • Programming and AI Tools: Proficiency in programming languages such as Python, R, or Java, with hands-on experience using AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
  • Scalable Architecture Design: Expertise in designing scalable AI systems that can handle large datasets, complex algorithms, and high-performance requirements.
  • Data Engineering and Integration: Experience working with data pipelines and collaborating with data engineers to ensure that AI models are trained on high-quality data.
  • AI Governance and Ethics: Familiarity with AI governance, ethical AI practices, and compliance standards.

Benefits:

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.