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Popular ML role, Bangalore metro, mid-level experience, and broad skill requirements drive high applicant competition.
Core ML engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit minimum experience and required ML engineering skills make shortlisting moderately strict.
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Design and build AI/ML solutions to improve data quality, metadata management, data governance, and related workflows.
Develop, deploy, and monitor AI models addressing moderately complex business problems and providing actionable insights.
Collaborate with cross-functional teams (Data Engineering, Governance, Architecture, Security, Business) to embed AI intelligence into core data platforms and processes.
Minimum 2 years of relevant AI/ML work experience (typically 3+ years).
Experience with machine learning, generative AI, and AI engineering for data management applications.
Ability to extract, integrate, and analyze moderately complex datasets.
Not explicitly mentioned: specific degree or certifications, location, notice period requirements.
Experienced in applying AI/ML to data governance, data quality, and metadata management domains.
Comfortable handling end-to-end AI model lifecycle including design, development, deployment, monitoring, and troubleshooting.
Able to work cross-functionally between technical and business stakeholders to translate needs into AI solutions.