Associate Director, DAAI
Bangalore, Karnataka, India
R
INR 2000K-3300K (estimate) Mid-level Full Time
Tasks
- Build business cases for AI initiatives
- Collaborate with engineers on monitoring scalability reliability
- Create reusable AI assets and reference architectures
- Define AI product strategy and roadmap
- Define product operating model for monitoring and incident management
- Design evaluation frameworks for ML and GenAI
- Develop prototypes and MVPs using ML and GenAI
- Drive product lifecycle from discovery to scale
- Establish human in the loop processes
- Guide prompt design fine tuning and RAG approaches
- Identify and validate AI opportunities
- Implement model performance drift and bias monitoring
- Lead responsible AI governance and controls
- Optimize ML and recommendation performance
- Own AI product vision
- Prioritize use cases and manage tradeoffs
- Productionize solutions with MLOps and CI CD
- Review code mentor teams and set engineering standards
- Translate business needs into requirements
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Containerization | CrewAI | Customer Data | Customer Data Platform | Dashboards | Data Lineage | Data Pipelines | Data platform | Deep learning | Drift Detection | Explainability | Fairness | Fine Tuning | GCP | Graph Databases | Graph Neural Networks | Graph theory | KPI Tracking | Kanban | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | Neural Networks | OKRs | Orchestration | Privacy | Prompt engineering | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Responsible AI | Retrieval-Augmented Generation | Scrum | Security | TensorFlow
Education
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