8 дней назад
Software Engineer II, Text Analytics (Java, NLP)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II, Text Analytics (Java, NLP): Building scalable pipelines and services for processing large volumes of unstructured data with an accent on NLP, machine learning, Generative AI, and distributed systems. Focus on designing resilient event-driven architectures, integrating AI models into production, and solving scalability challenges across diverse datasets.
Location: Palermo, Ciudad Autónoma de Buenos Aires, Argentina; hybrid with 3 days per week onsite
Company
Experience Management SaaS platform focused on helping organizations analyze and improve customer and employee experiences.
What you will do
- Build and operate scalable pipelines and services for large volumes of unstructured data, including reviews, comments, chats, and call center interactions.
- Develop robust distributed processing systems using Java, Kafka, S3, Docker, and Kubernetes.
- Integrate Elasticsearch, machine learning models, large language models, and AI pipelines into production systems.
- Implement the technical roadmap and product functionality while contributing to prioritization and planning.
- Partner with engineering and data science teams to maintain reliable services and solve scalability challenges.
- Improve development practices, tooling, code quality, and operational reliability.
Requirements
- 3+ years of software development experience with Java in production environments.
- Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
- Experience integrating AI coding assistants such as GitHub Copilot, Cursor, or Claude, including auditing and refactoring generated code.
- Fluent written and spoken English.
- Ability to work in the Buenos Aires vicinity and onsite 3 days per week.
Nice to have
- Experience with event-driven and streaming architectures such as Kafka.
- Experience with Docker and Kubernetes deployment and orchestration.
- Experience with API frameworks and API lifecycle management tools.
- PostgreSQL experience, including data modeling, schema design, and query optimization.
Culture & Benefits
- Work in small agile teams with daily standups, demo days, code reviews, and research spikes.
- Collaborate closely with engineering and data science teams.
- Contribute to large-scale text analytics and Generative AI capabilities.
- Inclusive workplace with equal employment opportunity and accessibility support.
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