Данные и ML вакансии

Location: São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A major Brazilian financial institution specializing in investment banking, wealth management, and corporate lending. The customer develops secure digital banking platforms and financial solutions to serve a diverse global client base. What You’ll Do Administer, support, and optimize critical database environments, with a primary focus on SQL Server Maintain database availability, performance, security, integrity, and resilience Monitor database health, performance, capacity, and resource utilization Perform performance tuning and optimize SQL queries, indexes, execution plans, and database structures Conduct capacity planning and recommend improvements based on projected growth and business demand Troubleshoot and resolve complex database, application, and infrastructure issues Implement and manage backup, restore, replication, contingency, and recovery strategies Support Disaster Recovery planning, testing, and execution Participate in database migration and modernization projects, particularly within AWS environments Support the evolution of database architectures, administration standards, and technical best practices Collaborate with Development, Infrastructure, Cloud, Security, and Architecture teams Support development teams with SQL query optimization and physical data modeling Identify opportunities to automate recurring database-administration activities Improve operational efficiency through automation, monitoring, and standardized procedures Maintain technical documentation, operational procedures, and recovery runbooks Participate in incident response and problem-management activities for critical environments What You Bring Middle-level experience in database administration Strong hands-on expertise with Microsoft SQL Server Experience supporting critical, large-scale, or mission-critical database environments Experience working within banking or financial-services environments Strong knowledge of high availability, database security, performance optimization, and Disaster Recovery Experience working with cloud and hybrid environments, preferably AWS Hands-on experience with backup, restore, replication, contingency, and environment-recovery processes Strong SQL troubleshooting and performance-tuning skills Experience optimizing queries, indexes, execution plans, and database structures Understanding of capacity planning, monitoring, and database-health management Knowledge of infrastructure, operating systems, storage, and networking Experience supporting database migrations or modernization initiatives Ability to diagnose and resolve complex technical issues Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field Analytical, proactive, collaborative, and solution-oriented mindset Nice to have Experience with Oracle, PostgreSQL, or MySQL Knowledge of NoSQL databases Experience with Python, PowerShell, or other automation and scripting technologies Microsoft, AWS, or comparable technical certifications Experience working with Infrastructure as Code or automated cloud-provisioning tools Familiarity with Agile methodologies English level Advanced Work Type: Hybrid Location: São Paulo, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

-Разрабатывать и совершенствовать лучшую на рынке платформу данных электронной коммерции нового поколения. -Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino.

Location: Philippines; India Workplace: remote About the Role:   Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-speech AI models  Location: India/ Philippines (Remote)  Engagement Type: Freelance (Pilot)  Rate: USD 4.55/hour  Estimated Hours: 30 hours/week Key Responsibilities Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription) Verify segment boundaries align with actual speech onset and offset Review start/end timestamps when boundaries are inaccurate Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.) Maintain consistency and accuracy across a detailed, evolving style guide Requirements English fluency, including strong command of spoken/colloquial forms (contractions, filler words, informal speech) Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred Comfortable using annotation/labeling tools Ability to reference and apply a detailed style guide consistently Ability to work independently and adapt to periodic guideline updates #L1-CC1

· Анализировать данные, выбирать подходящие архитектуры (от классического ML до нейросетей) и обучать модели. · Искать и тестировать новые подходы и решения, адаптируя их под наши нужды.

— Проводить исследования на основе большого количества реальных гитарных джемов. — Работать с open source моделями, адаптация под музыкальные задачи.

Задачи: — улучшать рекомендации — искать гипотезы — прототипировать на GPU — выкатывать в A/B-тесты Требования: — опыт 3+ года — знание Python, SQL, Spark, Docker, Git, ClickHouse, Redis, Deep Learning Условия: — удалённая работа или офис — фултайм

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

Разработка, сопровождение и ревью ETL-процессов поставки данных. Вам предстоит создавать конвейеры для извлечения, трансформации и загрузки данных из различных источников, настраивать их расписание и мониторинг.

▫️Проектирование, разработка и поддержка масштабируемых data ingestion pipelines. ▫️Работа с большими объёмами данных — до миллиардов строк.

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

— Создавать и редактировать тексты на самые разные темы. — Анализировать ответы GigaChat, находить ошибки и улучшать логику его мышления.

• Экспертиза в Linux, Docker.

Distributed systems, MPP, Python / Go, AWS, Karpenter, Istio, database infrastructure и задачи, в которых можно влиять на то, как все работает вместе.

– Обеспечьте сквозную доставку одного или нескольких приоритетных доменов данных в Azure Databricks. – Разработка и создание конвейеров обработки данных уровня Medallion (Bronze/Silver/Gold) с использованием декларативных конвейеров Lakeflow, Auto Loader, Structured Streaming и Delta Lake с кластеризацией Liquid.

- Решение сложных алгоритмических и исследовательских задач: обработка 3D‑данных, полигональных сеток и пространственных объектов, разработка пайплайнов поиска; - Проектирование архитектуры ML/DS‑сервисов и внедрение готовых решений в инфраструктуру проекта;

Предстоит: написание сервисов для команды рекомендательных систем; разработка систем мониторинга качества рекомендательных систем;

Разрабатывать модели прогнозирования, скоринга, детекции аномалий и AI-агентов. Выводить модели в production и масштабировать их.

🎯 Задачи — Разработка и развитие модуля Demand Planning — Проектирование и реализация высоконагруженных алгоритмов прогнозирования спроса и анализа рыночных сигналов — Ответственность за компоненты работы с данными и качество прогнозов.