IBM

AI/ML Engineer

Machine Learning Python TensorFlow PyTorch
Description
  • Machine Learning Model Development: Design, develop, and implement machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Large Language Model Integration: Collaborate with architects to leverage Large Language Models (LLMs) like Watsonx AI, GPT-4, or Bedrock (if applicable) for project success.
  • GenAI Project Experience: Bring at least 2 years of experience in GenAI projects, either for clients or IBM assets/products.
  • GenAI Task Expertise: Demonstrate expertise in at least one GenAI task, such as:
  • RAG content generation
  • Code generation
  • Code conversion
  • AI Agent development
  • Data mapping
  • Graph RAG
  • Solution Design and Requirements: Work closely with business SMEs to define project requirements, select appropriate AI/ML/GenAI models with architects, and set realistic model benchmarks to meet business needs.
  • AI Solution Design with Ethics: Collaborate with architects to design AI solutions that incorporate knowledge of AI ethics.
IBM
IBM
Business Development Business Information Systems CRM Data Management Software

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