Senior Applied AI Developer (IR444)

Nice to have

• Exposure to Big Data systems and data engineering practices.
• Knowledge of cloud platforms and architecture, with an understanding of CICD pipelines and DevOps practices.
• Awareness of modern AIML trends, especially in Generative AI and Large Language Models.
• Experience designing scalable ML systems that handle large datasets and meet strict performance SLAs.

• Responsibilities

  • Develop and maintain ML engineering platforms and reusable components.
  • Deploy ML models and implement feedback loops to monitor and improve their performance in production.
  • Build robust, testable, and scalable code that meets high quality standards and accounts for potential edge cases.
  • Collaborate with clientfacing teams to gather technical requirements and align solutions with business needs.
  • Participate in agile development ceremonies (e.g., scrum meetings) and clearly communicate progress, blockers, and dependencies.
  • Contribute to code reviews, version control practices, and bug tracking processes.
  • Conduct research and develop prototypes to evaluate emerging tools, frameworks, and architectures.

  • Benefits

    • 35 absence days per year for worklife balance
    • Udemy courses of your choice
    • English courses with nativespeaker
    • Regular softskills trainings
    • Excellence Сenters meetups
    • Onlineoffline teambuildings