Minor Hotels Europe and Americas

Consultant

• Support for workforce and people transformation projects, contributing to initiatives related to people strategy, organizational change, and employee experience.
• Contribution to the definition and implementation of people strategy, ensuring alignment between business priorities, capabilities, and employee value proposition.
• Support in designing and managing engagement and change initiatives, including communication campaigns to accompany transformation programs.
• Collaboration on AI adoption initiatives within HR functions, promoting change enablement and the integration of new capabilities into ways of working.
• Contribution to the development of transformation deliverables (presentations, toolkits, communication materials) and to coordination, reporting, and stakeholder engagement activities.

Workforce & Organization Consultant

Infrastructure Engineer

• Automate all GCP resources (GKE, Compute Engine, etc.)
• Collaborate with team members to drive cloud solutions
• Maintain system documentation and architecture diagrams
• Develop and maintain scripts for automation

Senior GCP Infrastructure Engineer

Systems Engineer

• Contribute to the design and delivery of AI‑ready data and knowledge foundations
• Work within structured engagements, executing defined workstreams under senior guidance
• Help design and implement semantic layers, knowledge graphs, and context platforms
• Collaborate closely with senior consultants, architects, and client teams
• Build and configure semantic layer components, including LookML models, dbt metrics, and dimension and measure definitions
• Contribute to knowledge graph schema design and populating graph databases
• Write and test data pipelines that feed context platforms
• Document semantic objects, context contracts, and data dictionaries
• Support discovery workshops focused on mapping enterprise data assets and knowledge flows
• Assist in evaluation and configuration of knowledge and context platform tooling

Contextual Systems Engineer Consultant

• Aplicar métodos científicos para analisar e resolver problemas de engenharia de software
• Responsável pelo desenvolvimento e aplicação de práticas de engenharia de software
• Colaborar e agir como parte do time com outros engenheiros de software

Consultor Soluções III

• Own defined workstreams end‑to‑end within AI and data‑driven transformation engagements
• Design and implement the semantic and knowledge foundations that enable AI systems to understand enterprise context
• Work closely with senior architects and client data teams to deliver production‑quality solutions
• Develop trusted relationships with day‑to‑day client counterparts
• Operate independently within your workstreams and manage priorities while escalating appropriately
• Begin contributing to internal knowledge development and practice assets within the Data Driven Transformation team
• Designing and implementing semantic layer architectures end‑to‑end, including LookML models, dbt metrics, and ontologies
• Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
• Defining context contracts, including versioned semantic objects, governed datasets, and metric definitions
• Leading technical workshops to extract and encode enterprise knowledge into machine‑readable forms
• Evaluating and configuring knowledge platform tooling, including graph databases, vector stores, and embedding pipelines
• Partnering with AI engineering teams to integrate context layers into agentic and AI workflows

Senior Contextual Systems Engineer, Consultant

Cloud Engineer

• Collaborate with external teams for business and demos
• Assist in the creation and deployment of applications to Azure
• Develop API specifications and best practices
• Model data for relational database management systems

Data Scientist

• Support 1–2 projects simultaneously, contributing to timely delivery and high - quality analytical outputs.
• Assist in the development and optimization of analytics and machine learning models using Python and SQL within Databricks and cloud environments (AWS and/or Azure).
• Contribute to AI initiatives across different business areas, working under the guidance of senior scientists and engineers.
• Apply foundational statistical methods, machine learning techniques, and modern data practices to address well - defined business problems.
• Document workflows, processes, and model outputs to ensure reproducibility, compliance, and scalability across teams.
• Collaborate with cross - functional stakeholders to clarify requirements, validate results, and support solution adoption.
• Support the monitoring, accuracy checks, and governance practices for deployed models to ensure reliability and integrity.

Analyst

• Realización de proyectos de mejora continua
• Proyectos para la optimización del proceso
• Seguimiento de indicadores
• Llenado y seguimiento a TUA
• Realización de mejora en IWS
• Seguimiento a DMS’s que apliquen al área
• Seguimiento en seguridad en áreas y EO’s

Maintenance Analyst Intern – PMD

Events

• Join BAT's Global Graduate programme to develop future leaders
• Participate in 18-month rotational programme
• Engage in cross-functional teams and industry connections

Global Graduate Night Event

Solutions Engineer

• Define enterprise cloud strategy and target-state architecture, covering capability uplift, adoption frameworks, modernization patterns, and future‑state operating model design.
• Develop multi-year transformation roadmaps aligned to business priorities, value drivers, and measurable outcomes.
• Design Cloud discovery and assessment, 7R classification, dependency mapping, and business case creation anchored in measurable outcomes.
• Build comprehensive financial models- TCO/ROI projections, migration cost modelling, and multi-year cloud investment forecasting.
• Architect cloud Landing Zones across GCP, Azure, and AWS, integrating identity, networking, governance, policy management, and security guardrails.
• Define reference architecture including IaC standards, reusable Terraform modules, and automation patterns.
• Define migration waves, tooling integration, orchestration workflows, and governance structures ensuring predictable, high‑quality migration outcomes.
• Develop Transition & Transformation (T&T) plans for large-scale multi-phase programs.
• Drive infrastructure-led app modernization, designing container platforms (AKS/EKS/GKE) and implementing SRE principles (SLIs, SLOs, error budgets).
• Architect reliable, automated platform engineering ecosystems that accelerate delivery and operations.
• Design multi-cloud CI/CD ecosystems, pipeline topology, artifact workflows, and automated release strategies.
• Define DevSecOps integration patterns across compliance, governance, and quality gates.
• Build and structure business cases and pricing models to support solution justification and commercial alignment.
• Collaborate seamlessly with Delivery teams to finalize statement of work, secure necessary approvals, and ensure smooth handover for execution.
• Provide strategic guidance on AI-led operations, predictive intelligence, cloud-native digitalization, FinOps, SRE, container platforms, cloud self‑service, and multi-cloud orchestration tooling.
• Lead client orals, value workshops, architecture reviews, and executive briefings to shape cloud transformation deals.
• Prepare and deliver capability presentations, solution narratives, and differentiated value propositions.
• Collaborate with hyperscalers and technology partners to bring innovation, new capabilities, and co-sell alignment.
• Work closely with cloud vendors/partners for new technology adoption and continuous capability uplift of delivery and presales teams.

GCP Pre-Sales Solutions Architect

• Design, build, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related frameworks
• Develop applications powered by Large Language Models using LangChain, vector databases, embeddings, and prompt orchestration frameworks
• Build scalable AI services, automation tools, and backend components using Python
• Prepare, transform, and manage datasets; build feature pipelines and model training workflows
• Deploy models into production using APIs, containerization, Docker, CI/CD, and cloud platforms
• Perform model tuning, evaluation, and performance optimization to ensure accuracy, efficiency, and reliability
• Work closely with product, engineering, and business teams to translate strategic requirements into AI driven technical solutions
• Stay up to date with emerging AI technologies, evaluate new tools, and prototype innovative solutions

AI Solutions Developer

Engineer

• Develop and maintain custom Kubernetes controllers, CRDs, and operators to extend platform capabilities.
• Integrate Kubernetes with Linux-based infrastructure bootstrapped via PXE, OTA, and other provisioning methods.
• Deploy and configure K3s clusters across heterogeneous hardware (bare metal, ARM/x86 nodes, and accelerators).
• Automate cluster provisioning, node registration, and upgrade workflows.
• Monitor platform health using Prometheus, Grafana, and Kubernetes Events.
• Enforce network policies, RBAC, secrets management, and container security best practices.
• Optimize Kubernetes performance on constrained hardware and air-gapped systems.
• Troubleshoot container runtimes, DNS resolution, and overlay networking (e.g., Calico, Flannel).

Kubernetes Development Engineer

Software Engineer

• Help the world’s leading organizations unlock the value of technology
• Build a more sustainable, more inclusive world using Pega solutions
• Collaborate with teams to integrate Pega solutions into client systems
• Provide technical leadership and mentorship within the development team
• Ensure compliance with industry regulations and standards

Pega Developer

Application Engineer

• Design, develop, and deploy intelligent applications leveraging advanced LLMs and generative AI technologies
• Deliver end‑to‑end solutions, implement RAG architectures, integrate diverse data sources, and build high‑quality prototypes for next‑generation Advisor Assistance tools
• Gather and consolidate data from diverse sources such as REST APIs, databases, enterprise systems, and document repositories
• Implement system prompts, agent architectures, multimodal workflows and AI orchestrated tools
• Prototype conversational interfaces, advisor systems, and AI assistants
• Develop intelligent tooling agents and automation to augment engineering workflows
• Embed Gen AI features into existing processes to enhance productivity and decision making
• Design and deliver production ready prototypes and proofs of concept demonstrating feasibility and business value
• Package and deploy applications using containers, APIs, and CICD pipelines
• Apply monitoring observability testing and secure coding practices
• Ensure compliance with Responsible AI, privacy, and data governance standards

AI Application Engineer

• Manage and configure how users authenticate into Google Cloud, including SSO and identity federation.
• Implement and enforce least-privilege access policies across cloud resources.
• Build automated provisioning workflows to assign permissions based on role or job title.
• Conduct regular audits of user permissions and remove outdated or unnecessary access.
• Collaborate with the Cloud Program Manager and Security teams to maintain a secure and compliant cloud environment.
• Document access policies, IAM structures, and governance processes.
• Identify and remediate any access gaps or security vulnerabilities.