ml engineer for client solutions

DEPT® is a Growth Invention company that helps ambitious brands grow faster. Operating at the intersection of technology and marketing, it delivers services across Brand & Media, Experience, Commerce, CRM, and Technology & Data.

• Design, develop, and implement data-driven solutions tailored to client challenges using predictive models and AI technologies;
• Consult and guide clients by defining AI use cases, validating ideas through proof of concepts, and deploying scalable production-ready systems;
• Build and maintain end-to-end AI systems focused on scalability, observability, and continuous model performance optimization using MLOps principles;
• Develop multi-agent and AI workflows using custom-built or low-code tools;
• Architect robust and modular backend services using SOLID principles;
• Design, document, and develop RESTful or GraphQL APIs connecting AI workflows with end-user applications;
• Collaborate with back-end engineers, front-end developers, DevOps, strategists, and clients to align efforts and deliver impactful solutions;
• Communicate complex technical solutions to technical and non-technical stakeholders through progress updates, demos, and presentations.

• Hands-on experience building and deploying Machine Learning and AI solutions with Scikit-learn, TensorFlow, PyTorch, LangChain, LangGraph, or similar technologies;
• Experience across the full GenAI lifecycle, including observability, prompt optimization, evaluation, deployment, and production monitoring;
• Experience with cloud platforms such as AWS, Azure, or GCP and related 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, including multi-source data ingestion, embedding strategies, and vector search database integration;
• Nice to have: Hands-on experience building and scaling RESTful APIs, containerization and deployment practices including Docker, CI/CD pipelines and Git-based collaborative workflows, cloud security and authentication, scalability and guardrails for real-time AI applications, deep neural network architectures such as transformers, a proactive approach to emerging ML and AI technologies, an MSc degree in a technical field, strong communication skills for explaining technical concepts to business stakeholders.

• Hybrid working policy;
• Direct availability to start working in Budapest, Hungary;
• Benefits may vary by location;
• Training, development, and certification opportunities;
• Global annual DEPT® Cares Month with employee participation in charitable initiatives.