ML Developer Sr – Data Agents
Tasks
- Build NL2SQL solutions
- Build release and operational tooling automation
- Create evaluation testing and observability for agent outputs
- Design and build data-centric AI agents
- Design and implement microservices and APIs
- Develop agent architectures with tool use and multi step workflows
- Enhance production support reliability and operational maturity
- Implement guardrails and validation layers
- Improve performance relevance and reliability through tuning and optimization
- Mentor peers with code and design reviews
- Partner with product and engineering stakeholders on data access needs
- Present technical designs to technical and non technical audiences
- Translate business requirements into technical designs
- Use AI tools for secure AI assisted development
Perks/Benefits
Skills/Tech-stack
API Design | ARM Templates | Alerting | Azure | Azure DevOps | Azure Functions | Azure Key Vault | Azure Monitor | Azure SQL | Azure Storage | CI/CD | Data Modeling | Data Warehousing | ELT | ETL | Embeddings | Fine Tuning | Git | GitHub | Guardrails | Kafka | Key Vault | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Log Analytics | Machine Learning | Microservices | Monitoring | Natural Language | Natural Language Processing | Observability | Performance Tuning | Powershell | Prompt engineering | Python | RAG | Reliability Engineering | SLOs | SQL | System design | Terraform | Terraform ARM templates | Validation | Vector Databases
Education
N/A
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