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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role We are seeking an experienced Vertex AI Engineer and Cloud Delivery Lead to drive the design, deployment, and operationalisation of machine learning solutions on Google Cloud. This role bridges AI/ML engineering and cloud delivery, ensuring that models and pipelines reach production reliably, securely, and at scale. Key Responsibilities: Design and implement end-to-end MLOps pipelines on Vertex AI, including data ingestion, model training, evaluation, and deploymentBuild and manage Vertex AI Pipelines (Kubeflow Pipelines) for automated model training and retraining workflowsDeploy and manage models using Vertex AI Model Registry, Endpoints, and Batch Prediction servicesImplement feature engineering workflows using Vertex AI Feature StoreDevelop GCP-native integrations connecting Vertex AI with BigQuery, Dataflow, Cloud Storage, and Pub/SubManage infrastructure for ML workloads using Terraform, ensuring reproducible and version-controlled environmentsConfigure IAM policies for Vertex AI workloads including service account governance and VPC Service ControlsLead cloud delivery activities: sprint planning, release management, environment promotion, and stakeholder communicationEstablish model monitoring using Vertex AI Model Monitoring for data drift and skew detectionCollaborate with data scientists to containerise experiments and promote models through dev/staging/productionDrive adoption of GKE for model serving workloads where custom inference infrastructure is required Your Profile 4+ years of experience with GCP, including 2+ years hands-on with Vertex AIStrong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)Experience building Vertex AI Pipelines and managing model lifecycle in Vertex AI Model RegistrySolid Terraform skills for provisioning Vertex AI, GCS, BigQuery, and associated infrastructureGood understanding of GCP IAM, particularly for securing ML pipelines and data accessExperience with GCP-native development patterns and event-driven architecturesDemonstrated cloud delivery experience including planning, execution, and stakeholder managementFamiliarity with containerisation (Docker) and GKE for model serving What You'll Love About Working Here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion. Make it real | www.capgemini.com .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.