AI/ML Solutions Engineer

Навыки

• CI/CD
• Анализ данных
• Docker
• Excel
• Дообучение моделей
• ITIL / ITSM
• Jira

Задачи

• Implement AI/ML solutions to automate business processes, focusing on measurable business impact (reduction of manual effort, optimization of operational costs)
• Ensure high reliability, accuracy, and performance of automated systems in line with SLA requirements and business objectives
• Drive rapid delivery of new automation use cases from idea definition and validation to production deployment
• Develop scalable and reusable AI automation components and solutions
• Evaluate and demonstrate the business impact of implemented solutions using quantitative metrics (process improvements, resource savings, user adoption and engagement)
• Support business teams with expertise related to business processes, operational efficiency, and customer support effectiveness
• Identify automation opportunities and design comprehensive AI/ML solutions to address business needs
• Collaborate with external vendors on integrations, customizations, and solution delivery when required
• Monitor operational workflows, identify bottlenecks, and define areas for improvement
• Document solutions, processes, and outcomes, ensuring transparency through regular reporting and process updates
• Monitor and evaluate system performance, continuously improving automation workflows, logic, and user scenarios
• Collaborate with business and technical stakeholders to integrate AI solutions into existing operational processes
• Анализ данных Продажи Россия
• Analytics
• AI/ML Solutions Engineer Откликнуться Our team (Customer Support Efficiency) is responsible for improving the performance and scalability of the Customer Support organization
• We optimize business processes, own and evolve support tools and platforms, analyze support quality and operational metrics, and drive automation initiatives—from workflow improvements to AI-powered solutions
• Our team works at the intersection of business, technology, and data to help Support deliver faster, higher-quality, and more efficient customer experiences

Требования

• 3+ years of experience in AI/ML engineering, automation, applied data science, or business analytics
• English proficiency at least at B2 (Upper-Intermediate) level, with strong written and verbal communication skills, including email communication and participation in video conferences with English-speaking stakeholders
• Proven experience implementing AI solutions for real-world business automation use cases
• Hands-on experience with Large Language Model (LLM)-based systems, including AI agents, RAG architectures, prompt engineering, fine-tuning, evaluation methodologies, and iterative improvement based on user feedback and business KPIs
• Strong knowledge of Natural Language Processing (NLP) and experience working with unstructured data (e.g., text, logs, documents)
• Proficiency with machine learning and data analysis tools: Python, scikit-learn, TensorFlow/PyTorch, SQL, Pandas
• Practical knowledge of MLOps tools and practices (e.g., Docker, MLflow, CI/CD pipelines) and DataOps principles
• Understanding of REST APIs, enterprise integration patterns, and database structures
• Experience with automation platforms (e.g., UiPath, Power Automate) or developing custom automation scripts
• Knowledge of best practices for structuring and preparing data for AI applications
• Experience with data analysis and visualization tools (e.g., Excel, SQL) to evaluate model performance and generate actionable insights
• Familiarity with IT infrastructure, customer support software platforms, and ITIL principles
• Ability to create technical and process documentation: specifications, architecture diagrams, user guides, and operational documentation
• Strong analytical skills and the ability to translate business challenges into practical AI-driven solutions
• Excellent communication skills for effective collaboration with internal teams, external vendors, and business stakeholders
• Knowledge of customer support best practices and operational efficiency management
• Confident user of MS Office, PowerPoint, Jira, and Confluence

Условия

• оциальный пакет ДМС и страхование жизни (включая детей) с первого месяца
• Оплата мобильной связи
• Обучение: митапы, конференции, сертификации, иностранные языки, курсы по развитию навыков
• Ежемесячная доплата на питание
• Интересная работа Команда признанных экспертов
• Масштабные задачи и международные продукты
• Современные технологии
• Расширение технического кругозора
• Комфортные условия 2 спортзала и сауна прямо в офисе
• Свой ресторан и бар
• Врач и массаж в офисе
• Программа релокации в HQ для кандидатов из регионов

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.