
AI Architect @ Capgemini Polska Sp. z o.o.
16 hours ago
- At least 5 years of experience in AI, ML, or cloud architecture, with a deep understanding of AI system design.
- Excellent communication skills, with the ability to translate complex technical concepts into business value.
- Strong expertise in Python, cloud computing (AWS, Azure, GCP), and distributed computing frameworks.
- Experience designing scalable AI architectures, including APIs, microservices, and containerization (Docker, Kubernetes).
- Knowledge of ML lifecycle management, including model versioning, monitoring, and CI/CD for AI pipelines.
- Familiarity with AI governance, responsible AI, and compliance frameworks.
- team-player mindset with experience working in agile, cross-functional teams in international settings.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
WHAT YOU’LL LOVE ABOUT WORKING HERE- Practical benefits: company car, yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
- Award-winning development programs to support your career at every stage. Connected Manager - our leadership development program has already helped over 300 employees accelerate their growth
- 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, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
- Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
- Power to build a sustainable, more inclusive future: Be the change and engage in our initiatives like IT Girls rEvolution Academy, CharITy Hackathon, Tree Planting or Grant Program.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
ABOUT CAPGEMINICapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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,[Architect and design AI solutions, ensuring scalability, security, and performance across cloud and hybrid environments., Define best practices for AI model deployment, infrastructure design, and MLOps implementation., Lead AI projects, guiding teams in the integration of AI-driven solutions within business applications., Evaluate and select AI frameworks, tools, and platforms to align with business and technical requirements., Collaborate with data scientists, engineers, and business leaders to ensure AI adoption and compliance with industry regulations., Drive AI strategy by identifying emerging technologies, trends, and innovation opportunities.] Requirements: AI, Cloud, Communication skills, Python, Cloud computing, Azure, GCP, Distributed computing, Microservices, Docker, Kubernetes Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.-
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