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ЙО ИТ-консалтинг

AI Engineer

YO IT Consulting

Remote · Договор

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
4 часа назад
Режим работы
Работа из дома
Резюме
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Описание работы

Job Overview

We are looking for an AI Engineer to contribute to the development of next-generation artificial intelligence systems. The position is fully remote and contract-based. Your primary responsibility will be to enhance how AI models learn and perform by providing high-quality, real-world data inputs. Prior AI experience is not a prerequisite; what matters most is your domain knowledge.

Primary Duties

  • Develop and fine-tune reliable machine learning models suitable for production use.
  • Create and automate comprehensive ML pipelines using CI/CD best practices.
  • Utilize AWS cloud services to build scalable AI infrastructure and facilitate model deployment.
  • Manage containerized applications through Kubernetes to ensure they remain highly available and scalable.
  • Work closely with data scientists, engineers, and researchers to convert complex business requirements into practical machine learning solutions.
  • Preprocess and analyze real-world data challenges to frame them effectively for machine learning applications.
  • Maintain clear and detailed documentation of methodologies, outcomes, and technical decisions.

Required Qualifications

  • Demonstrated skill in machine learning algorithms, model construction, and deployment strategies.
  • Proficient programming capabilities in Python or Java, especially with experience in extensive software engineering projects.
  • Experienced in implementing CI/CD pipelines and automation processes.
  • Hands-on use of AWS cloud platforms for machine learning and data processing tasks.
  • Strong knowledge of Kubernetes for orchestration of containerized ML workloads.
  • Excellent communication skills for writing technical documents and collaborating within teams.
  • Ability to analyze, plan, and solve intricate real-world data problems effectively.

Preferred Attributes

  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Background working in fast-paced startup or high-growth settings.
  • Contributions to open-source AI projects or a track record of academic publications in AI.

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