Director-AI/ML Engineering
INR 4000K-5199K (estimate) Executive-level Full Time
Tasks
- Automate data optimization techniques
- Build real-time and batch data platforms
- Communicate complex architectures to non-technical audiences
- Create data context layers for intelligent insights
- Define AI data intake strategies
- Define and measure objectives and key results
- Develop data medallion architecture solutions
- Drive employee engagement enablement and talent development
- Drive innovation and external knowledge sharing
- Drive platform modernization and cloud migration
- Enable federated data engineering
- Ensure data lineage data quality classification and secure access controls
- Establish data reliability and data governance
- Implement data industrialization practices
- Lead data engineering teams
- Maintain SLAs and FinOps cost optimization disciplines
- Mentor senior data experts and people leaders
- Serve as technical advisor and thought leader
Perks/Benefits
Skills/Tech-stack
AI strategy | Access Controls | Agentic AI | Batch Processing | Big Data | Cloud Migration | Cloud platform | Data Architecture | Data Classification | Data Engineering | Data Governance | Data Lineage | Data Medallion Architecture | Data Processing | Data Quality | Federated Data Engineering | Federated data | FinOps | GCP | Gen AI | Google Cloud | Google Cloud Platform | Hadoop | Machine Learning | Medallion Architecture | OKRs | Real Time | Real-time Data | Real-time Data Processing | SLAs | Secure Access | Secure Access Controls
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