Data Scientist/Engineer

2 semanas atrás

Brasil beBeeMachineLearning Tempo inteiro US$80.000 - US$150.000

We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions.

  • Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
  • Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
  • Automate and optimize model deployment following MLOps best practices.
  • Engage in the development of cutting-edge Kubernetes-driven infrastructure.
  • Work on system reliability and backend stability, always looking for details to be improved.

You must have:

  • Bachelor's or advanced degree in Computer Science or Engineering.
  • Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
  • Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
  • Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
  • Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
  • Strong Python skills and familiarity with other object-oriented languages.
  • Very effective communication skills, both written and verbal.
  • Ability to solve problems and communicate complex ideas effectively.

You may have:

  • Basic understanding of machine learning algorithms.
  • Keen interest for Generative AI and Large Language Models (LLMs).
  • Previous startup experience.
What We Offer

An opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.

  • A collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
  • An opportunity to participate in conferences and workshops.
  • An opportunity to participate in Tech Talks (internal training and seminar sessions).
  • Remote work options and travel to European headquarters available.
Some Of Our Benefits
  • Medical package.
  • Multisport cards.
  • Lunch provided.
  • Kitchens stocked with fruit and veggies twice a week.
  • Monthly integration budget.
  • Company library (online and offline).
  • Fun room.

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