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BrainRocket

Machine Learning Engineer (Relocation to Spain Required)

BrainRocket
Romania · Full-time · Mid-Senior

❗️Please note that this role is office based for Valencia, Spain (Carrer de Catarroja, 13, 46940 Manises).

❗️If you need to be relocated, we take care of the process.


We are looking for a Founding Senior Machine Learning Engineer to join our team. As an early hire, you will work closely with the Head of AI to design, develop, and deploy AI and ML solutions from the ground up. This is a hands-on, high-visibility, and high-impact role that offers tremendous growth potential. You’ll play a pivotal role in shaping the technical foundation of our AI team and delivering real-world solutions in a dynamic, fast-paced environment.


Responsibilities:

  • Develop, train, and fine-tune Machine Learning and Deep Learning models for gaming and CRM use cases;
  • Design, build, and maintain data pipelines to ensure reliable, clean, and scalable datasets;
  • Collaborate with the Head of AI to transform prototypes into production-ready solutions;
  • Contribute to infrastructure setup, including MLOps practices, and implement CI/CD pipelines for machine learning models;
  • Work with cross-functional teams, including product and engineering, to integrate AI capabilities into customer-facing applications;
  • Document and communicate results clearly, catering to both technical and non-technical stakeholders.


Requirements:

  • A minimum of 3+ years of experience in Machine Learning, Data Engineering, or Applied AI roles.
  • Strong proficiency in Python and machine learning frameworks like PyTorch or TensorFlow;
  • Solid experience with data engineering tools (e.g., SQL, Spark, Airflow, or equivalents);
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure);
  • Proven expertise in deploying ML models in production environments;
  • Strong problem-solving skills and the ability to work autonomously in a startup-like environment;
  • Excellent communication skills in English.


Nice-to-Have:

  • Experience with MLOps tools such as Docker, Kubernetes, MLflow, or Weights & Biases;
  • Familiarity with transformers and large language models (LLMs), particularly within the Hugging Face ecosystem;
  • Exposure to a variety of data types, including structured (tabular) and unstructured (text, images);
  • Previous experience working in the iGaming industry.


What We Offer:

🏡 Be part of setting up and shaping our brand-new office in Valencia;

🌍 Work in an international and dynamic environment;

📈 Opportunities for career growth and personal development;

🎉 A fun and collaborative workplace with regular team events.


Bold moves start here. Make yours. Apply today!

Key Skills

Ranked by relevance

machine learning ai deep learning prototypes spark mlops cicd sql aws gcp crm
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Posted
Aug 20, 2025
Type
Full-time
Level
Mid-Senior
Location
Romania

Industries

Software Development

Categories

Engineering

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