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AI/ML Engineer (GenAI)

Plain Concepts · Spain

External listingfull-time13 days ago

About The Role

Join our international AI/ML squad as a Data Scientist. You'll craft tailor-made solutions, tackle unique challenges, and dive into cutting-edge projects. Enjoy a flexible 35-hour work week, 100% remote work option, competitive salary, and numerous benefits including free medical and dental insurance, training budget, and gym discounts.

  • Participating in the design and development of AI solutions for challenging projects, building production level ML/AI solutions, and putting AI models into production.
  • Tackling the unique challenges of AI-powered software alongside a team of brilliant minds, and diving into cutting-edge projects using the latest tech.
  • Training, deploying, and putting groundbreaking developments into action, and taking on projects that matter with a passionate team.
  • Fluent english (international environment)
  • Experience with Big Data tools and cloud platforms (especially Azure)
  • RESTful API development and DevOps practices (docker, CI/CD)
  • More than 5 years of experience in AI / Machine Learning / Computer Science
  • Strong skills in Python and reasonable SQL understanding
  • Cognitive services, Agentic AI..
  • Fluent spanish (mandatory)
  • Experience using GitHub Copilot or similar AI coding tools in real development workflows
  • Experience building an “end-to-end software product” which has AI or Machine Learning components
  • Experience working with Azure or other cloud-based solution
  • 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 in testing as essential part of development (unit, integration, etc.)
  • Strong team player mindset
  • Knowledges in NLP and Computer Vision
  • Constant drive to learn and ability to learn quickly
  • Familiarity with recommendation systems, unsupervised learning, and ranking models
  • Strong object-oriented programming skills
  • Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing

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