Lead AI Engineer 0226
Tasks
- Architect ingestion pipelines for documents images voice and communications
- Build AI driven automation for classification summarization information extraction
- Build knowledge grounded response pipelines
- Build reusable frameworks internal standards and knowledge sharing programs
- Create unified intelligence data architecture
- Design scalable AI platform architecture
- Enable containerized model deployment
- Ensure data protection compliance and enterprise security
- Ensure highly available model hosting version control scalable inference orchestration
- Establish prompt orchestration standards
- Establish responsible AI practices explainability bias detection safe response generation
- Implement continuous integration and delivery for ML systems
- Implement knowledge grounded AI workflows using vector search
- Implement machine learning full lifecycle management
- Implement safeguards for incorrect or unsafe AI outputs
- Integrate monitoring observability and auditability across AI services
- Launch enterprise AI platform in public cloud
- Lead large language model development and tuning
- Mentor engineers and data scientists across teams
- Optimize performance and cost using event driven and serverless patterns
- Own model lifecycle training validation deployment monitoring retraining
- Prioritize high impact AI use cases with business leaders
- Promote experimentation and responsible adoption of AI technologies
- Provision environments using infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
Bias detection | Continuous Delivery | Continuous integration | Deep learning | Docker | Event Driven | Event-driven architecture | Explainable AI | Generative AI | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | MLOps | MLOps automation | Machine Learning | Model Monitoring | Observability | Python | Retrieval-Augmented Generation | Semantic Retrieval | Serverless | Vector Search | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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