Company Name

GENPACT ( Bangalore )

Job Description

• Responsibilities :

  •     Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing.
  •     MLOps Support and Maintenance on ML Platforms Dataiku/Sagemaker
  •     Apply understanding of Dataiku Govern functionalities, including item and artifact management, workflow control.
  •     Using best practices for data governance and model accountability within the MLOps lifecycle.
  •     Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and  (e.g., Docker, Kubernetes).
  •     Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows.
  •     Design and implement monitoring and alerting systems to track model performance, data drift, and other key metrics.
  •     Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data.
  •     Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development
  •     Develop and maintain robust monitoring and alerting systems for generative AI models in production
  •     Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization.
  •     Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability.
  •     Stay up to date on the latest advancements in MLOps and incorporate them into our platform and processes.
  •     Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models.

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