GCP AI Developer

Our requirements

• Proven experience as an AI/ML Developer building and deploying models on Google Cloud Platform (GCP), with hands-on expertise in Vertex AI and related GCP AI services.
• Strong understanding of machine learning frameworks (TensorFlow, PyTorch, or JAX) and MLOps practices including model versioning, monitoring, and retraining strategies.
• C1-level English proficiency and the ability to communicate effectively with both business and technical stakeholders.
• GCP Professional Certification.
• Proficiency in Python, with experience writing production-grade code including REST APIs and microservices.

Optional

• More than one GCP Certification.
• Experience with generative AI, LLMs, RAG architectures, and prompt engineering. Architecture certifications in Azure or AWS.
• Experience with containerization (Docker, Kubernetes, Cloud Run) and CI/CD pipelines. Familiarity with data governance and responsible AI frameworks.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

Your responsibilities

• We are seeking an AI Developer who thrives at turning AI/ML concepts into production-ready solutions on Google Cloud Platform. You will work closely with data architects, data scientists, and business stakeholders to design, build, and deploy intelligent applications that deliver measurable business value. A high level of English proficiency and strong communication skills are essential. Polish language skills are a plus.
• Your responsibilities will include developing and deploying AI/ML models and generative AI solutions using GCP-native services such as Vertex AI, BigQuery ML, Document AI, and Gemini API.
• You will build and maintain end-to-end ML pipelines, from data ingestion and feature engineering through model training, evaluation, and serving.
• Ensuring solutions meet production standards for scalability, monitoring, and responsible AI practices will be central to your role.
• Staying current with GCP AI innovations and emerging industry trends is key to continuously improving development practices.

What we offer

• Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Benefits

• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• dental care

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Polska