18 days ago
Opole, Poland +6 moreMid Level
Responsibilities
- Design end-to-end AI solutions by translating ambiguous business problems into scalable, production-ready technical architectures.
- Build production generative AI applications, including multi-agent solutions, with a focus on evaluation and optimization.
- Deliver and manage machine learning models in production across AWS, Azure, or GCP using MLflow and MLOps practices.
- Consult with strategic customers to define AI product visions and roadmaps aligned with technical feasibility and measurable business outcomes.
- Establish AI engineering best practices and contribute to reusable frameworks.
Requirements
- At least 4 years of hands-on experience in machine learning, generative AI, MLOps, and software engineering, including productionized models and AI systems.
- Proficiency with LangChain, DSPy, Hugging Face, and practical experience building and deploying multi-agent solutions.
- At least 3 years of customer-facing consulting experience and the ability to communicate complex technical concepts to strategic stakeholders.
- Cloud and MLOps experience with one or more of AWS, Azure, or GCP, including MLflow for model tracking, versioning, and deployment.
- A graduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.
Benefits
- Yearly financial bonus, private medical care through Medicover, preferential additional medical packages, life insurance, and access to the NAIS benefits platform.
- Access to more than 70 training tracks with certification opportunities, Education First language learning, TED Talks, and Udemy Business materials.
- Hybrid working after onboarding with office and work-from-home options, including a home office package with a laptop, monitor, and chair.
- Opportunities to work with cutting-edge technologies and global enterprise customers.
Tech Stack
Categories
Forward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.