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Mid-level Bangalore role with broad ML+data requirements and metro location increases applicant competition.
Specialized ML, Databricks and marketing-data compliance needs limit cross-industry portability.
Explicit 5+ years plus mandatory Databricks, ML/LLM, Python, SQL and privacy requirements make filters stringent.
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Architect and maintain a unified data engine with real-time data ingestion pipelines from DSPs, social networks, and eCommerce platforms.
Develop, train, and deploy machine learning models to monitor trends and predict success probabilities for product releases.
Build AI-enabled front-end tools and dashboards for marketing teams, ensuring data tokenisation and compliance with cross-border data regulations.
Bachelor’s degree or equivalent experience.
5+ years of professional experience in machine learning engineering, data architecture, or predictive pipeline development within high-volume tech or digital media.
Advanced proficiency in Python, SQL, API configurations, and experience with Databricks production data models.
Strong understanding of data privacy frameworks and cross-border data security protocols.
Experienced in combining machine learning, data engineering, and automation to deliver AI-powered marketing solutions.
Proficient using modern AI coding assistants and large language models for accelerated front-end development and testing.
Skilled at collaborating with marketing teams to create scalable, automated workflows supporting campaign performance and creative asset generation.