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 (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México