Job Description

Key Responsibilities:

  • Design, implement, and deploy scalable ML/AI solutions in production, including agentic workflows, chatbots, and Gen AI applications.
  • Collaborate with data scientists, engineers, product teams, and strategic customers to translate complex problems into cloud-ready AI solutions.
  • Conduct experiments, explore new algorithms, and optimize model performance, efficiency, and reliability.
  • Ensure ethical and responsible AI practices across all solutions.
  • Develop AI solutions on enterprise platforms such as Databricks, Snowflake, Teradata, and BI tools (Tableau).
  • Optimize LLMs and generative models using prompt engineering, fine-tuning, and advanced ML techniques.
  • Diagnose, troubleshoot, and resolve issues in AI model training and serving.
  • Build reusable solution patterns, reference architectures, and showcases applicable across multiple customers.
  • Serve as a technical evangelist...

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