AI Engineer
Naucalpan de Juárez, México, México
MXN 990K-1300K (estimate) Entry-level Full Time
Tasks
- Automate model training retraining and deployment pipelines
- Build CI/CD pipelines
- Build and scale AI MLOps platform on GCP
- Collaborate on AI system design
- Deploy machine learning models to production
- Develop Python based applications using GenAI
- Develop autonomous AI “Agents”
- Innovate and standardize AI ML development practices
- Integrate RESTful APIs for ML platform systems
- Perform code reviews
- Run simulations for algorithm development
- Use AI powered development tools for coding assistance
- Use Git for version control
- Write testable, maintainable code
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Airflow | Angular | Bash | CI/CD | Dash | DevSecOps | Docker | GCP | Generative AI | Git | GitHub Actions | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kubeflow | Kubernetes | LLM | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Powershell | PyTorch | Python | RESTful APIs | React | Scikit-learn | SonarQube | Tekton | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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