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THRYVE

Machine Learning Engineer

THRYVE

Remote · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
Herhangi
Maaş
Açılışlar
1
Yayınlandı
9 saat önce
Çalışma modu
Evden çalışma
Eğitim
Master's or PhD in Computer Science or related field
Sürdürmek
Başvuru yapılması gerekmektedir.

İş tanımı

About Us

Join a rapidly expanding AI engineering firm, part of a prominent financial IT group, focused on transforming cutting-edge research into impactful solutions. Our products support intelligent automation, chatbots, and AI assistants utilized by hundreds of thousands of employees and millions of customers worldwide.

Our AI Competence Center is dedicated to pioneering applied AI, offering an environment where innovative concepts become functioning prototypes. Our team of over 100 professionals leverages open-source software and the latest AI technology to redefine digital transformation across domains such as AI-powered assistants, e-learning, and bespoke AI engineering projects.

Your Role

  • Continuously monitor and integrate advancements in AI research into practical applications.
  • Collaborate with engineers and stakeholders to quickly develop and test prototype models.
  • Act as a liaison between research, development, and business units to foster impactful AI solutions.
  • Provide expert guidance on emerging AI technologies to teams and clients.
  • Oversee and assess an AI model portfolio spanning various projects.

Required Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a closely related discipline.
  • Proficient in Python programming and experienced with machine learning frameworks like PyTorch or TensorFlow.
  • Inquisitive mindset, innovative thinking, and exceptional problem-solving skills.
  • Ability to communicate effectively with both technical experts and non-specialist audiences.

Why Work With Us

  • Flexible remote work option, allowing up to 182 days per year working worldwide.
  • Opportunity to develop AI solutions impacting millions globally.
  • Work alongside leading researchers and engineers on advanced technologies.
  • Experience a flat organizational structure promoting flexibility and full ownership of your projects.

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