jobapplier

Data Scientist (GenAI)

Plain Concepts

Skills

Required

  • AI / Machine Learning / Computer Science
  • ML
  • Computer Vision
  • MLOps
  • Azure
  • GitHub
  • Python
  • SQL
  • TensorFlow
  • gRPC
  • docker

Preferred

  • ML/AI

Join our international AI/ML squad as a Data Scientist. You'll craft tailor-made solutions, tackle unique challenges, and work on 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.

Participer à la conception et au développement de solutions d'IA pour des projets complexes, en construisant des solutions ML/AI de niveau production.

Responsibilities

  • Automatiser le déploiement et la surveillance des modèles et de l'infrastructure, en mettant en œuvre des pratiques MLOps.
  • Développer et former des modèles ML/AI, en les mettant en production et en les optimisant pour un environnement de production.

Requirements

  • Fluent spanish (mandatory)
  • Experience in testing as essential part of development (unit, integration, etc.)
  • Strong team player mindset

Knowledges in NLP and Computer Vision

  • 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
  • Constant drive to learn and ability to learn quickly
  • More than 5 years of experience in AI / Machine Learning / Computer Science
  • 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

Fluent english (international environment)

  • Experience with Big Data tools and cloud platforms (especially Azure)
  • Familiarity with recommendation systems, unsupervised learning, and ranking models
  • Cognitive services, Agentic AI..
  • Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing
  • Strong object-oriented programming skills
  • RESTful API development and DevOps practices (docker, CI/CD)