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RevoData
RevoData
11 – 50 Zaposleni
B2BSvetovanjeUmetna inteligenca
RevoData je na Nizozemskem temelječe svetovalno podjetje za podatke in umetno inteligenco, ki se osredotoča izključno na Databricks. Njena svetovalna ekipa podjetjem pomaga oblikovati in upravljati modularne podatkovne platforme ter platforme umetne inteligence, pripravljene za produkcijsko uporabo, in sicer z upravljanimi storitvami Databricks, pregledi arhitekture, usposabljanjem, inženiringom umetne inteligence, geoprostorskim svetovanjem, migracijo podatkov in optimizacijo procesov. Kot zlati partner podjetja Databricks, z nosilci naziva Databricks Champions in ekipo s polnim certifikatom Databricks, RevoData združuje strokovno znanje o platformi s praktično podporo pri izvedbi kompleksnih podatkovnih projektov za podjetja.
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Delovna mesta v podjetju

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.

HUMadžarska
2.000.000 Ft – 2.700.000 Ft / mesec
Na daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaInženir strojnega učenjaInženir umetne inteligence
AWSAzureGoogle Cloud PlatformPySparkPythonPyTorchSQLTensorFlowUnity

Opis

  • 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

Zahteve

  • 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

Ugodnosti

  • 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

Sorodna delovna mesta