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Data Scientist (GenAI)

Exclusive opportunity

Onsite

Data Scientist (GenAI)

Plain Concepts

Data Scientist (GenAI)

Skills

SQL QueriesBig DataDockerPythonTensorFlowData AnalysisMachine LearningAIGitHubNLP / Natural Language ProcessingAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Spain

Work mode:

Onsite

Published on:

8 October 2026

What they need


  • Participating in the design and development of AI solutions for challenging projects
  • Building production level ML/AI solutions, with solid software engineering and ML/AI principles
  • MLOps Automated deployment and monitoring (models and infrastructure)
  • Data analysis (data cleaning, variable transformation, etc.)
  • Developing and training ML/AI models
  • Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment

Benefits

  • Competitive salary based on experience: We offer competitive salaries that match both market trends and your unique experience and skills. We believe in rewarding the talent and dedication of our team.
  • Flexible 35-hour week: We promote a work-life balance with a flexible 35-hour work week, without any salary reduction. We prioritize your well-being and productivity.
  • 100% Remote work (optional): We provide the option for 100% remote work, allowing you to create a work environment that suits your personal needs and preferences.
  • Flexible remuneration (restaurant, transportation, and childcare): Our flexible remuneration package includes vouchers for restaurants, transportation, and childcare services
  • Free medical and dental insurance: We cover medical and dental insurance for you and your family, ensuring your health and well-being are always a priority, with no additional cost to you.
  • Training budget and free certifications: Invest in your growth with an individual training budget and access to free Microsoft certifications. We support your continuous learning and professional development.
  • English lessons: Enhance your language skills with weekly English lessons, designed to improve proficiency and confidence in a global work environment.
  • Day off for your birthday: Celebrate your birthday with a day off, on us! We believe in celebrating you and giving you the space to enjoy your special day.
  • Monthly bonus: Receive a monthly bonus to cover your electricity and internet expenses, ensuring you have everything you need for a comfortable and productive remote work setup.
  • Gym and sports discount: Stay active and healthy with discounts on gym memberships and sports activities. We encourage a healthy lifestyle for our team members.
  • Cutting-edge tech tools: Stay ahead of the curve with access to the latest technological tools. We ensure you have the best resources at your fingertips to drive innovation.
  • Annual team building events: Join us for Plain Camp, our annual team-building event designed to strengthen bonds and foster collaboration within our team in a fun and relaxed setting.- Strong team player mindset
  • Experience working with Azure or other cloud-based solution
  • Experience using GitHub Copilot or similar AI coding tools in real development workflows
  • Strong skills in Python and reasonable SQL understanding
  • Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines (MLOps experience is very valuable for the team)
  • Experience building an “end-to-end software product” which has AI or Machine Learning components
  • More than 5 years of experience in AI / Machine Learning / Computer Science
  • Constant drive to learn and ability to learn quickly
  • Fluent spanish (mandatory)
  • Experience in testing as essential part of development (unit, integration, etc.)
  • Knowledges in NLP and Computer Vision
  • Fluent english (international environment)
  • Experience with Big Data tools and cloud platforms (especially Azure)
  • RESTful API development and DevOps practices (docker, CI/CD)
  • Familiarity with recommendation systems, unsupervised learning, and ranking models
  • Cognitive services, Agentic AI..
  • Strong object-oriented programming skills
  • Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing- The selection process: Simple, just 3 steps
  • Phone screen
  • 2 interviews with the team 🤘

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