Distributed Cloud | AI Data Architect

Devoteam
Portugal
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Communication","Leadership","Problem-solving"]

Seasoned Data & AI Architect leading end-to-end MLOps, data architecture, and governance for AI/ML ecosystems. Designs cloud-native infrastructure (Kubernetes-based), Feature Stores, and Data Warehouse/Lake integration; drives CI/CD for models, ensures security and reproducibility, and guides technology choices to optimize performance and cost for enterprise-scale data and AI initiatives.

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Devoteam
Devoteam
7 months ago

Distributed Cloud | AI Data Architect

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Last checked: 3 hours agoStatus: Live

Job Summary

Seasoned Data & AI Architect leading end-to-end MLOps, data architecture, and governance for AI/ML ecosystems. Designs cloud-native infrastructure (Kubernetes-based), Feature Stores, and Data Warehouse/Lake integration; drives CI/CD for models, ensures security and reproducibility, and guides technology choices to optimize performance and cost for enterprise-scale data and AI initiatives.
Location: Portugal
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and Govern AI/ML Architecture: Establish the end-to-end MLOps strategy and architecture for the entire ML lifecycle, covering experimentation, training, versioning, deployment, and monitoring of models.
  • •Infrastructure Design: Design and implement scalable infrastructure (cloud-native, utilizing Kubernetes/GKE/EKS/AKS) for model training, serving, and high-performance inference.
  • •Data Platform Integration: Collaborate with Data Engineering teams to design efficient Feature Stores, data labeling processes, and high-speed data integration between the Data Warehouse/Lake and ML pipelines.
  • •MLOps Implementation: Drive the adoption of robust CI/CD and automation frameworks for code and model deployment, ensuring model lineage, security, and reproducibility.
  • •Architecture Strategy: Evaluate and recommend new tools, platforms, and technologies to optimize the overall Data & AI platform for performance, cost-efficiency, and future growth.

Key Requirements

  • •7+ years of progressive experience in Data Engineering, Software Architecture, or ML Engineering with a focus on designing and scaling production-grade ML/AI systems.
  • •Hands-on expertise with MLOps principles and tools, including Docker and Kubernetes.
  • •Deep knowledge of at least one major cloud platform (AWS, Azure, or GCP) and its ML/data services (e.g., Vertex AI, SageMaker, Azure ML, BigQuery/Synapse).
  • •Strong understanding of Data Architecture principles (Data Warehouse/Lake design, Data Modeling) and data governance.
Experience:7+ yearsData architectureMl engineeringCloud computingAi
Skills:CommunicationLeadershipProblem-solving
Certifications:Cloud ArchitectMLOps
Languages:English
Tech Stack:DockerKubernetesAWSAzureGCPVertex AISageMakerBigQuerySynapsePython

Company Brief

Devoteam
Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1995
WebsiteLinkedIn