52 minutes ago
Senior Python Engineer (ML/AI)
Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.
Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа
Описание вакансии
Текст:
TL;DR
Senior Python Engineer (ML/AI services): Design, build, and enhance AI services and APIs powering
products, leveraging LLMs and custom ML models with an accent on scalability and intuitive services. Focus on production deployment & integration, creating and maintaining APIs and microservices for model serving.Company
helps businesses globally streamline operations by connecting data, processes, applications, and experiences.
What you will do
- Design, build, and enhance AI services and APIs powering products, leveraging LLMs and custom ML models.
- Develop well-architected, testable, and efficient Python code production services and experimentations.
- Implement and improve validation, monitoring, and observability for production-grade solutions.
- Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.
- Continuously evaluate and optimize existing implementations for performance, scalability, and usability.
- Create and maintain APIs and microservices for model serving; build and maintain middleware layers integrating LLMs with existing systems.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
- 5+ years of experience as an ML Engineer, Data Scientist, or similar role.
- Strong Python programming skills and hands-on experience with NLP and LLM models.
- Proven track record of deploying and maintaining ML services in production environments.
- Solid understanding of network protocols, API design, and experience with relational and non-relational databases.
- LLMops/MLops experience is a strong plus.
Nice to have
- Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots.
- Experience with open‑source LLM frameworks (e.g., LangChain, LlamaIndex) and vector databases.
- Familiarity with metrics logging and monitoring stacks (Prometheus, ELK), and observability best‑practices.
Culture & Benefits
- Flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
- Driven by innovation and looking for team players who want to actively build company.
- Balancing productivity with self-care.
- Vibrant and dynamic work environment they can enjoy inside and outside of their work lives.