Senior Manager, Data Science and Agentic AI
MXN 960K-1200K (estimate) Senior-level Full Time
Tasks
- Apply MLOps practices CI CD monitoring reproducibility
- Apply responsible AI and governance
- Build predictive and prescriptive models
- Design and build AI agents and copilots
- Evaluate agents with guardrails and eval sets
- Ground agents in governed data and business logic
- Implement RAG and prompt engineering
- Monitor accuracy hallucination bias and drift
- Operationalize agents on Azure and Microsoft Fabric
- Orchestrate multi-agent workflows
- Partner with stakeholders to define problems and decisions
- Take use cases from PoC to production
- Track token cost and enforce budgets
- Translate technical results into business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Agent Orchestration | Agent systems | Azure AI | Azure AI Foundry | Azure ML | CI/CD | Context engineering | Deep learning | Experimentation Design | Feature Engineering | Forecasting | Function Calling | LLM | Langchain | Language Processing | MLOps | Machine Learning | Microsoft Fabric | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Next Best Action | OneLake | Predictive Modeling | Prescriptive Modeling | Prompt engineering | Python | RAG | Responsible AI | SQL | Segmentation | Semantic Kernel | Tool-Calling | Vector Databases
Education
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