Senior Applied AI Developer (IR-444)

• 5+ years of practical experience in Machine Learning.
• Solid understanding of ML and Deep Learning fundamentals, including model fine-tuning (especially LLMs).
• Proficient in Python; experience with PySpark or Scala is a plus.
• Background in backend API development and working with vector databases.
• Experience with ML Ops practices such as model monitoring, tracking KPIs, and managing model drift (preferably using MLflow).
• Hands-on experience with NLP or computer vision projects.
• Familiarity with ML frameworks such as Keras or HuggingFace.
• Experience in building feature engineering pipelines, inference workflows, and deploying models for real-time predictions.

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

• 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 client-facing 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.

• 35 absence days per year for work-life balance
• Udemy courses of your choice
• English courses with native-speaker
• Regular soft-skills trainings
• Excellence Сenters meetups
• Online/offline team-buildings

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