FIND_THE_RIGHTJOB.
India
Key Responsibilities
practical conceptual, logical, and physical data models.
structured data representations suitable for ML training.
that can support AI/ML development pipelines.
domain (e.g., PCI-DSS, APRA, GDPR, or government data classification frameworks).
evolving data needs.
Required Skills & Experience • Proven experience as a Data Modeler or Data Architect on large-scale projects in one or more of the listed industries. • Strong understanding of industry data domains, including customer data, product data, transactions, network data, media assets, case files, etc. • Proficiency in data modeling tools (e.g., Erwin, ER/Studio, PowerDesigner, or equivalent). • Ability to create conceptual, logical, and physical models aligned with business use cases. • Familiarity with ML data preparation, feature engineering concepts, and how structured data models enable model training and performance. • Strong grasp of metadata management, data lineage, and data cataloging practices. • Excellent communication skills and ability to engage both technical and non-technical stakeholders.
Preferred Qualifications • Experience working with AI/ML teams or product teams building AI-driven applications. • Exposure to knowledge graphs, ontologies, or semantic modeling. • Familiarity with data lakes, lake houses, and modern data platforms like Databricks, Snowflake, or Big Query. • Hands-on understanding of data privacy, ethics, and regulatory concerns in respective industries.
Why Join? • Work on cutting-edge AI/ML projects at the data design level. • Shape foundational assets that directly impact enterprise AI strategy. • Collaborate with a high-caliber cross-functional team of data scientists, engineers, and domain specialists. • Be a part of industry innovation through data and AI.
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹1,200,000.00 - ₹1,500,000.00 per year
Work Location: Remote
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