Generative AI Engineer III

Generative AI Engineer III at Deloitte focused on designing, building, testing, and deploying AI/ML solutions for client use cases. The role involves developing data pipelines, model training workflows, and production components, analyzing data for insights, and collaborating with stakeholders. It requires experience with Python, PySpark, PyTorch, TensorFlow, and deploying ML models into production, with a preference for experience in LLMs and generative AI.

What you'd actually do

  1. Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  2. Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  3. Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  4. Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  5. Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

Skills

Required

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice to have

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

What the JD emphasized

  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Other signals

  • design, build, test, and deploy machine learning and artificial intelligence solutions
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions