Senior AI/ML Architect, Applied Field Engineering
Tasks
- Build and deploy machine learning and generative AI solutions
- Collaborate with product and engineering on AI ML roadmaps
- Maintain sales engineering AI and ML selling assets
- Operationalize enterprise AI use cases
- Position AI and ML features for technical stakeholders
- Publish technical content and demos
- Scope and drive proof of concepts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | As-a-Service | Cloud platform | DBT | Data Engineering | Few-Shot Learning | Few-shot | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as a Service | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Microsoft Azure | Pandas | Prompt engineering | Proof of Concept | Proof of Concept (POC) | PyTorch | Python | RAG | Scikit-learn | Snowflake | Technical Presentations
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Architect | Architect | Engineer | Learning Engineer | ML Architect | Machine Learning Engineer | Solutions Engineer
Regions
Countries
States
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