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Senior Data Scientist​/MLOps

Online/Remoto - Ideal para candidatos en
España
Empresa: Plain Concepts Group
Remoto/Desde casa posición
Publicado en 2026-01-21
Especializaciones laborales:
  • TI/Tecnología
    Machine Learning, Ingeniero de IA, Científico de datos, Analista de datos
Rango Salarial o Referencia de la Industria: 50000 - 70000 EUR Anual EUR 50000.00 70000.00 YEAR
Descripción del trabajo

We’re Growing Our AI Dream Team!

Titles? Meh, we’re not big on them, but let’s call this one Data Scientist.

As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning.

Here’s the deal:

  • You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.
  • You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
  • Whether you prefer working from home or vibing with us at our offices, the choice is yours.
  • AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.

Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen!

You will be responsible for:

  • 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 models.
  • Putting AI models into production.
  • Parallelizing, optimizing, tuning, and testing models for deployment in a production environment.

Minimum requirements:

  • More than 5 years of experience in AI / Machine Learning / Computer Science.
  • Ability to build end-to-end software products with machine learning components.
  • Knowledge in applied computer vision.
  • Strong skills in Python and reasonable SQL understanding.
  • Experience in building ML/deep learning pipelines and models.
  • Experience implementing production-ready ML models using current ML/Deep learning techniques.
  • MLOps experience is mandatory.
  • Experience in NLP/Generative AI projects is necessary.
  • International and presales experience is highly valuable.
  • English proficiency is mandatory.

Very nice to have:

  • Experience with Deep learning frameworks like Tensor Flow, PyTorch, etc.
  • Experience with Big Data tools and projects.
  • Experience writing RESTful web services.
  • Experience with Dev Ops tools (Docker, CI/CD, etc.).
  • Experience with source code version control.
  • Experience working with Azure or other cloud platforms.
  • Azure Machine Learning experience is a plus.
  • Deep learning and neural networks expertise.
  • Experience with NLP, Computer Vision, recommendation systems, unsupervised learning, ranking systems, or similar.
  • Knowledge of Tensor Flow Lite, Tensor Flow Serving, gRPC.
  • Unit testing knowledge.
  • Solid object-oriented programming skills.

Benefits include competitive salary, flexible schedule, fully remote work, health insurance, training budgets, language lessons, birthday off, monthly expense bonuses, gym discounts, team-building events, and other perks.

Application process:

  • Phone screen
  • Two interviews with the team

About Plain Concepts:

Plain Concepts is a global company of over 500 passionate tech professionals, specializing in custom solutions, technical consultancy, and training. We focus on innovative projects across AI, blockchain, and more, with offices in multiple countries. We value technical excellence, creativity, and collaboration.

Learn more on our website:

We are committed to equal opportunity employment, welcoming applicants regardless of race, gender, religion, or other protected characteristics.

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Requisitos del puesto
10+ años Experiencia laboral
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