Lead Generative AI Data Engineer III

Lead Generative AI Data Engineer III at Deloitte, responsible for designing, developing, testing, and deploying ML/AI solutions. This role involves managing AI engineering workstreams, developing data pipelines and model training workflows, and collaborating with cross-functional teams. The position requires extensive experience in ML/AI solution delivery, production deployment, and team leadership, with a focus on generative AI technologies.

What you'd actually do

  1. Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  2. Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  3. Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  4. Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  5. Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.

Skills

Required

  • Python
  • Pyspark
  • Pytorch
  • Tensorflow
  • deploying machine learning models into production environments
  • leading technical teams
  • project management
  • AI technologies such as Gemini, Anthropic, and OpenAI
  • large language models
  • natural language processing
  • generative artificial intelligence solutions

Nice to have

  • Master's degree
  • US Government security clearance
  • containerization
  • orchestration tools such as Docker or Kubernetes
  • model monitoring
  • model governance
  • machine learning operations processes

What the JD emphasized

  • deploying machine learning models into production environments
  • leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery
  • working with AI technologies such as Gemini, Anthropic, and OpenAI
  • working with large language models, natural language processing, or generative artificial intelligence solutions

Other signals

  • deploying machine learning models into production environments
  • leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery
  • working with AI technologies such as Gemini, Anthropic, and OpenAI
  • working with large language models, natural language processing, or generative artificial intelligence solutions