AI/ML Solutions Architect
Tasks
- Architect LLM based applications
- Assess feasibility of ML solutions
- Collaborate with delivery teams for solution handoff
- Design end-to-end ML architectures
- Develop ML technical proposals and presentations
- Develop reusable solution patterns
- Evaluate technical trade offs for cost performance and complexity
- Lead technical discovery sessions with clients
- Manage technical stakeholder expectations
- Mentor engineers on client communication and solution design
- Present solutions to technical and non-technical audiences
- Provide technical guidance during project execution
- Serve as primary technical point of contact for clients
- Share ML best practices and lessons learned
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS | Azure | Computer Vision | Cost Optimization | Data Engineering | Data Lake | Data Monitoring | Data Pipelines | Data Quality | Data Validation | Data Warehouse | Deep learning | DevOps | ELT | ETL | GCP | Lambda | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | RAG | Recommendation Systems | Security Compliance | Serverless | Time Series
Education
N/A
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