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Mid-level ML role, common title, metro hiring, and broad required skills increase applicant competition.
Role requires ML/LLM and GCP-specific skills but remains transferable to other industries with ML needs.
Explicit 3+ years and mandatory ML/LLM, GCP, Python, and CI/CD skills create strict filters.
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Configure, fine-tune, and integrate AI agents for data governance, quality, lineage, and stewardship on the EXLdata.ai™ platform.
Design and automate governance workflows and data stewardship processes using AI agent orchestration and perform current-state analysis and documentation.
Collaborate within Agile teams to troubleshoot agent performance, data pipeline, and workflow issues in a GKE environment, delivering sprint objectives.
3+ years experience in AI/ML development, agent configuration, or LLM-based application development.
Proficiency in Python and experience with CI/CD pipelines using GitHub / GitHub Actions.
Knowledge of data governance concepts including data quality, stewardship, lineage, MDM/RDM, and metadata management.
Experience with REST APIs, event-driven integration, and familiarity with AI agent frameworks and orchestration tools.
Experienced in AI agent configuration specifically for data governance and workflow automation in cloud environments, preferably Google Cloud Platform (GCP).
Skilled at collaborating with multidisciplinary Agile teams including GCP Engineers, Solution Architects, and Data Analysts to deliver complex sprint goals.
Strong analytical capability to assess and document data governance processes and troubleshoot complex agent and pipeline issues in containerized environments.