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RevoData is a Netherlands-based data and AI consultancy focused exclusively on Databricks. Its consulting team helps enterprises design and operate modular, production-ready data and AI platforms through managed Databricks services, architecture reviews, training, AI engineering, geospatial consulting, data migration, and process optimization. As a Databricks Gold Partner with Databricks Champions and a fully Databricks-certified team, RevoData combines platform expertise with practical delivery support for complex enterprise data projects.
Forward Deployed AI Engineer
Build production generative AI solutions with RevoData, a Databricks-focused data and AI consultancy. Work alongside clients to shape scalable platforms and guide projects through delivery.
HungaryFt 2,000,000 – Ft 2,700,000 / month
RemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning EngineerDescription
- Work with clients to design AI solutions for real business needs
- Turn AI capabilities into applications for customers and stakeholders
- Advance AI solutions from prototypes to reliable production systems
- Evaluate AI systems and improve their measurable performance
- Create RAG architectures, agent workflows and fine-tuned generative AI applications
- Organize and coordinate AI applications with generative AI frameworks
- Set evaluation baselines and metrics for prompts, retrieval, models and parameters
- Manage experiment tracking, model versions, observability and deployment workflows
- Build automated monitoring, evaluation and CI/CD pipelines for machine learning and large language models
- Design scalable pipelines for training and inference
- Advise clients, turn business challenges into technical roadmaps, and lead projects from scoping to delivery
- Explain architecture choices to CTOs and pair with engineers to debug pipelines
- Use Databricks, PySpark, SQL, Delta Lake, Unity Catalog, MLflow and Mosaic AI features
Requirements
- Experience building AI systems across their lifecycle, from experimentation through deployment and monitoring
- Experience delivering production generative AI applications, including RAG architectures, agent workflows and fine-tuning
- Experience with platforms such as OpenAI, Anthropic, Azure AI or similar services
- Experience with generative AI frameworks such as LangChain, LangGraph, Pydantic AI, Hugging Face or DSPy
- An evaluation-led approach: set baselines, define meaningful metrics and measure improvements
- Understanding of LLMOps and MLOps, including experiment tracking, model versioning, observability and deployment
- Experience building automated monitoring, evaluation and CI/CD pipelines for traditional machine learning and LLMs
- Experience designing scalable training and inference data pipelines for production
- Strong Python skills with data and machine learning libraries, and the ability to write clean, testable, well-structured code
- Experience deploying or working with AI solutions on AWS, Azure or Google Cloud Platform
- A client-facing consulting mindset, with the ability to turn business challenges into technical roadmaps and lead projects from scoping to delivery
- Databricks experience or certification is an advantage
- PyTorch or TensorFlow experience is an advantage
- Experience with production LLMOps tools for evaluation, monitoring and drift detection is an advantage
Benefits
- Employment arranged through a third-party employer-of-record or payroll provider in accordance with Hungarian employment requirements
- Access to Databricks learning resources, certifications and partner academies
- Regular internal knowledge-sharing sessions and workshops
- Hands-on opportunities with modern data and AI technologies, including Databricks and the broader data engineering ecosystem
- Flexible, collaborative work environment with remote and hybrid options
- Collaboration with experienced data and AI professionals across Europe
- Opportunities to grow technical expertise, consulting skills and technical leadership
- Regular team activities and opportunities to connect with colleagues across RevoData
- Sustainable working practices and a focus on wellbeing
- For candidates new to Databricks, a seven-month intensive course combining certification, client project work and internal knowledge sharing, with transition to a permanent contract upon agreed milestones
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