вчера

ai engineer for AI-driven transformation

ориентир по рынку
вакансия зп не указана
в среднем 305 503 ₽
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описание

DataArt is a global software engineering firm and trusted technology partner that designs and engineers data-driven, cloud-native solutions for market leaders and visionaries.

задачи

  • Strategically lead and advise on AI initiatives aligned with the AI Lab and company objectives;
  • Assess business requirements with diverse client teams and design tailored AI solutions integrating generative AI, LLMs, and MLOps practices;
  • Present recommendations and proposals to current and prospective AI clients, demonstrating innovative offerings and business value;
  • Lead and develop Proof of Concepts and Accelerator projects using advanced cloud integration and generative AI technologies;
  • Stay current with industry trends and advancements;
  • Foster continuous learning and innovation within the team;
  • Share relevant insights with clients and internal groups.

требования

  • At least 4 years of practical experience implementing and leading AI/ML projects;
  • Practical experience in AI roles such as Consultant or AI Solution Architect;
  • Master’s or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field;
  • Hands-on experience implementing AI/ML solutions in a business context;
  • Experience with at least one major cloud platform: AWS, GCP, or Azure;
  • Expertise in Generative AI and LLMs, including modern frameworks and tools such as LangChain;
  • Strong understanding of MLOps practices, including model training pipelines, continuous integration and deployment, and ML model monitoring;
  • Strong communication and leadership skills for cross-functional collaboration, proposal presentations, and stakeholder management.

условия

  • Vacation according to the laws of the country;
  • Health insurance for the employee and dependents;
  • Sick pay: 10 days without a doctor's note, afterwards according to local laws;
  • Time off for state holidays according to the official calendar;
  • Two large corporate parties and smaller colleague gatherings;
  • Technical and everyday workplace support;
  • Benefits package may vary by region and contract type.

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