6 hours ago
Budapest, Hungary +2 moreMid Level
Responsibilities
- Design, develop, and implement data-driven AI and predictive modeling solutions tailored to client challenges.
- Consult with clients to define AI use cases, validate ideas through proof-of-concepts, and deploy scalable production systems.
- Build and maintain end-to-end AI systems with scalability, observability, monitoring, and continuous model-performance optimization.
- Develop production-grade multi-agent and AI workflows using custom code or low-code tools to orchestrate data, tools, and context.
- Architect modular backend services and integrate AI components into broader software ecosystems.
- Design, document, and develop RESTful or GraphQL APIs for AI workflows and end-user applications.
- Collaborate with backend engineers, frontend developers, DevOps teams, strategists, and clients to align delivery efforts.
- Present technical solutions, progress updates, demos, and recommendations to technical and non-technical stakeholders.
Requirements
- Hands-on experience building and deploying machine learning and AI solutions using technologies such as Scikit-learn, TensorFlow, PyTorch, LangChain, or LangGraph.
- Experience across the full generative-AI lifecycle, including observability, prompt optimization, evaluation, deployment, and production monitoring.
- Experience with AWS, Azure, or GCP and their AI services, including SageMaker, Azure ML, or Vertex AI.
- Solid proficiency in Python and experience writing clean, testable, reusable code in professional software-development environments.
- Experience designing and implementing RAG solutions involving multi-source data ingestion, embedding strategies, and vector-search databases.
- Availability to start working in Budapest, Hungary.
- Preferred experience building and scaling RESTful APIs, particularly with FastAPI.
- Preferred experience with Docker, CI/CD pipelines, and Git-based collaborative workflows.
- Preferred understanding of cloud security, authentication, scalability, and guardrails for real-time AI applications.
- Preferred theoretical foundation in deep neural network architectures such as transformers and interest in emerging ML and AI technologies.
- An MSc in a technical field focused on software, data, or AI is preferred.
- Strong communication skills and ability to explain technical concepts to business stakeholders.
Benefits
- Hybrid working policy across listed locations including Amsterdam, Rotterdam, London, Manchester, Berlin, Hamburg, Budapest, Zagreb, and Skopje.
- Training, development, and certification opportunities.
- Opportunity to work with local and global clients across industries.
- Global annual DEPT Cares Month supporting local charities.
- Benefits may vary by location and further details are available from the recruiter.
Categories
About DEPT®
DEPT® is a global technology and marketing services agency that designs and builds digital products, campaigns, and commerce for large brands. It delivers strategy and execution across brand/media, experience design, commerce, CRM, and technology/data as a fee-for-service agency. Headquartered in Amsterdam and owned by The Carlyle Group, it is B Corp and Climate Neutral certified since 2021, with clients such as Google, eBay, and Lufthansa.