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Senior Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Working on applied research projects using state-of-the-art machine learning techniques and deploying them for real-world use with an accent on business context to drive customer experience and adoption. Focus on deep learning models, supervised/unsupervised learning algorithms, and presenting results to non-technical stakeholders.

Location: Valencia or Barcelona

Company

hirify.global enables enterprise executives to define AI & Data strategy, execute large-scale transformations, and implement AI across operations to build future-proof organizations.

What you will do

  • Work on variety of applied research projects using state-of-the-art ML techniques.
  • Deploy ML models for production use and leverage their outputs.
  • Understand business context to build features improving customer experience and adoption.
  • Present results to non-technical stakeholders.
  • Collaborate in a fast-paced, dynamic team environment.

Requirements

  • Data enthusiast with resourceful and critical thinking.
  • Collaborative, team-oriented with strong communication skills.
  • Impeccable attention to detail, fast learner, problem-solving attitude.
  • Proficiency in Python programming.
  • Experience with ML/DL libraries (Scikit-learn, TensorFlow, Keras, PyTorch).
  • Experience with visualization frameworks (Matplotlib, Seaborn, etc.).
  • Deep learning approaches (RNNs, CNNs), clustering, regression, classification (supervised/unsupervised/reinforcement).
  • Understanding of Unix/Linux, familiarity with REST API and microservices.

Nice to have

  • Experience with Data/AI platforms (Databricks, Dataiku, Snowflake) or certifications.
  • Familiarity with web development.

Culture & Benefits

  • Yearly education budget for learning.
  • Yearly sport budget.
  • Impact on thousands of people.
  • International, knowledgeable, passionate team with collaborative mindset.
  • Open and transparent culture in a growing startup environment.

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