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Tier-1 brand plus metro location but niche GenAI skills reduce applicant pool.
GenAI and MLOps skills are broadly transferable across industries, though banking compliance adds some bias.
Explicit 7+ years and specialized GenAI/MLOps expertise makes shortlisting stringent.
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Advise leadership and influence technical strategies across applications, network, security, database, operating systems, or web technologies for complex enterprise needs.
Lead strategy and resolve complex challenges with long-term, large-scale solutions requiring innovation and advanced analytical thinking.
Provide vision and expertise on implementing innovative business solutions focused on Generative AI data, analytics, and technology integration.
7+ years of engineering experience demonstrated through work experience, training, military experience, or education.
Experience in data engineering and pipeline development, especially for scalable batch and streaming pipelines related to Generative AI data.
Knowledge or experience supporting Generative AI, Machine Learning, AI platform initiatives, including MLOps/AIOps, model monitoring, AI observability frameworks.
Relevant cloud certifications preferred (e.g., Azure Data Engineer, Databricks, Snowflake).
Experienced in building and scaling enterprise-level data pipelines and analytics dashboards for Generative AI use cases.
Able to operate strategically across multiple groups and influence leadership decisions for complex technology and business needs.
Strong expertise in Generative AI platform operations, model monitoring, and analytics within cloud environments.