SE - Software Engineer
Mexico City, MEX, Mexico
MXN 720K-1200K (estimate) Entry-level Full Time
Tasks
- Apply Agile practices for CI CD pipelines
- Automate model training and deployment pipelines
- Build and scale AI MLOps platform on Google Cloud Platform
- Deploy AI models to production
- Develop and maintain Python applications for GenAI and machine learning
- Develop autonomous AI “Agents”
- Experiment with NLP and computer vision
- Innovate and standardize AI ML development practices
- Integrate RESTful APIs
- Participate in code reviews using Git
- Run simulations for algorithm development
- Use AI-powered development tools
- Write testable, maintainable code
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Airflow | Angular | CI/CD | Cloud platform | Computer Vision | Dash | Docker | Generative AI | Git | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | LLM | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | NLP | Python | REST API | React | SonarQube | Tekton | Terraform | Test-Driven | Test-Driven Development | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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