Senior AI Engineer
Tlalnepantla, Ciudad de México, MX, 54070
MXN 934K-1300K (estimate) Senior-level Full Time
Tasks
- Apply AI governance practices
- Build reusable AI components APIs and shared services
- Build test and deploy AI solutions with CI CD pipelines
- Communicate AI outcomes to business stakeholders
- Contribute to testing CI CD observability and documentation standards
- Design and deploy LLM powered AI assistants
- Design and develop web-based AI applications
- Design, build, and maintain ETL pipelines
- Develop dashboards and insights with Qlik
- Develop data models for analytics and AI workloads
- Develop generative AI solutions with Snowflake Cortex AI Vertex AI and external LLM APIs
- Drive end to end delivery with product owner mindset
- Ensure data security compliance and AI governance
- Ensure secure standardized deployments
- Implement retrieval-augmented generation
- Integrate AI models with enterprise data
- Own software development lifecycle
- Process and analyze large datasets in Snowflake
- Write unit tests and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Cloud Platforms | Cortex AI | Data Modeling | ETL | Embeddings | Generative AI | Google Vertex | Google Vertex AI | Integration Testing | LLM | MLOps | Machine Learning | Observability | Python | Qlik | Retrieval-Augmented Generation | SQL | Security Compliance | Snowflake | Unit Testing | Vector Database | Vector Search | Vertex AI | Web Applications
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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