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Tier-1 brand and metro location increase applicant density, seniority and specialization limit competition.
AI and data engineering skills transfer across industries, but assurance and managerial context add specificity.
Explicit 8+ years, managerial expectations and mandatory technical/domain skills create strict shortlisting.
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Lead the design, development, and deployment of AI and machine learning systems to transform raw data into actionable business insights.
Manage teams and client accounts with responsibility for project success, client satisfaction, and team performance coaching.
Oversee development of data infrastructure, pipelines, and implement complex data analysis supporting scalable AI models.
Bachelor's degree required.
Minimum 8 years of relevant work experience.
Proficiency in English (oral and written) mandatory.
Not explicitly mentioned: specific location or onsite requirements and formal certifications are preferred but not mandatory.
Educational background in Management Information Systems, Computer Science, Engineering, Mathematics, Statistics, Data Science, AI, or related fields preferred.
Experience with certifications or proficient use of data engineering, ML, and cloud platforms like AWS, Google Cloud, Azure, Databricks, or Snowflake.
Track record of leading teams in AI/ML solution development, data integration, and innovation-driven environments.