Specialist Solutions Architect - AI/ML
Tasks
- Apply MLOps practices to productionize models
- Architect production level ML and AI workloads
- Build scale and optimize customer AI workloads
- Collaborate with product and engineering on customer requirements and roadmap
- Design agentic systems with tool calling
- Design retrieval-augmented generation solutions
- Develop natural language querying of structured data
- Implement AI guardrails
- Orchestrate multi-agent systems
- Perform AI evaluation and observability
- Provide technical support during technical sales
- Set up AI monitoring systems
- Support feature engineering training tracking and serving
- Support model monitoring on a unified platform
Perks/Benefits
Skills/Tech-stack
AI guardrails | Agent Orchestration | Agentic Systems | Artificial Intelligence | Data Engineering | Data drift monitoring | Deep learning | Drift monitoring | Feature Engineering | Fine Tuning | LLM Evaluation | Language Models | Large Language Models | MLOps | Machine Learning | Model Serving | Model Training | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | Retrieval-Augmented Generation | Tool-Calling | Training Data Drift Monitoring | Training data | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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