Generative AI Data Engineer III

Generative AI Data Engineer III at Deloitte, focusing on designing, building, testing, and deploying ML/AI solutions. Responsibilities include developing data pipelines, model training workflows, and production components, analyzing data for insights, and monitoring model performance. Requires experience with Python, Pyspark, Pytorch, Tensorflow, and AI technologies like Gemini, Anthropic, and OpenAI.

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

  • Python
  • Pyspark
  • Pytorch
  • Tensorflow
  • Gemini
  • Anthropic
  • OpenAI
  • Machine Learning
  • Artificial Intelligence
  • Data Pipelines
  • Model Training
  • Model Deployment
  • Algorithm Development
  • Model Selection
  • Model Optimization
  • Model Evaluation
  • Technology Consulting
  • Federal Health

Nice to have

  • Large Language Models
  • Natural Language Processing
  • Generative Artificial Intelligence
  • Docker
  • Kubernetes
  • Model Monitoring
  • Model Governance
  • Machine Learning Operations

What the JD emphasized

  • 3+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, Pyspark, Pytorch, Tensorflow
  • 3+ years of experience developing algorithms, model selection, training/validation/optimization, and evaluation at scale
  • 1+ years of technology consulting experience in the Federal Health space
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, OpenAI
  • Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow
  • Ability to obtain and maintain a US government security clearance
  • 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
  • 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