AI/ML Architect
Bangalore Karle Town SEZ, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build reusable ML lifecycle frameworks
- Collaborate with legal, risk, and compliance teams
- Define enterprise machine learning strategy
- Define model risk management controls
- Design end-to-end ML and GenAI architectures
- Drive generative AI roadmap and adoption
- Drive responsible AI fairness bias mitigation
- Ensure GDPR and regulatory compliance
- Establish AI governance frameworks
- Implement data privacy and security policies
- Implement scalable MLOps and deployment pipelines
- Lead AI center of excellence setup
- Lead model monitoring and observability
- Measure ROI and business impact with KPIs
- Mentor ML engineering teams
- Translate business strategy into technical architecture
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud Architecture | Cloud platform | Data Privacy | DevOps | Explainability | Feature Stores | Fine Tuning | GDPR | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python | Scala | Security Compliance | Traceability | Vector Databases
Education
N/A
Roles
AI | AI/ML Architect | Architect | Learning Architect | ML Architect | Machine Learning Architect
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