- Cloud: AWS, including services for compute, storage, databases, security, monitoring, and AI/ML
- Programming: Python, SQL, scripting, and API development
- Data Platforms: Relational databases, NoSQL, data lakes, data warehouses, and vector databases
- Data Integration: ETL/ELT, REST APIs, event streaming, messaging, and microservices
- AI: Generative AI, AI agents, RAG, prompt orchestration, embeddings, model evaluation, and responsible AI controls
- Computer Vision: OpenCV, image preprocessing, classification, object detection, OCR, model evaluation, and inference pipelines
- DevOps: Git, automated testing, CI/CD, infrastructure as code, release management, and environment management
- Containers: Docker and Kubernetes or equivalent container platforms
- Security: Secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, and compliance
- Monitoring: Application, database, pipeline, infrastructure, and AI-model observability

Preferred Qualifications

- Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience in manufacturing, automotive, engineering, industrial,



or product-development environments.
- Experience with AWS services such as S3, RDS, Redshift, Glue, Lambda, API Gateway, SageMaker, Bedrock, IAM, CloudWatch, and EKS.
- Experience with knowledge graphs, enterprise search, vector databases, or semantic data models.
- Experience with MLOps platforms and model lifecycle management.
- Experience deploying AI or computer vision solutions at the edge.
- Familiarity with data-governance frameworks, model-risk management, and responsible AI principles.
- AWS, data architecture, security, Kubernetes, or AI/ML certifications.
- Experience leading proof-of-concept efforts and transitioning them into supported production solutions.
- Enterprise and systems thinking
- Hands-on technical leadership
- Data and AI governance
- Security-by-design
- Problem-solving and root-cause analysis
- Stakeholder alignment
- Technical documentation
- Project prioritization and roadmap development
- Ability to balance innovation, security, scalability, cost, and operational sustainability

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📌 Data Architect (México)
🏢 Pyramid Consulting
📍 México