обновлено 4 дня назад
Senior ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer (AI): Engineering and productionizing end-to-end ML systems, including data pipelines, LLMOps infrastructure, and agentic multi-agent workflows, with an accent on NLP, RAG, multimodal AI, and production-scale delivery. Focus on building observable and reproducible ML pipelines, orchestrating autonomous AI systems, and integrating reliable ML services into cloud-based applications.
Location: Bulgaria or Romania; remote or office work
Company
delivers engineering, AI, and data science solutions through a community of more than 170 AI/ML experts.
What you will do
- Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, training, optimization, and deployment.
- Build and maintain LLMOps pipelines with MLflow, Langfuse, LangSmith, or Weights & Biases for observability, reproducibility, and prompt versioning.
- Develop NLP, RAG, and multimodal AI solutions in collaboration with data scientists, engineers, and clients.
- Design and orchestrate agentic and multi-agent workflows using frameworks such as LangGraph and CrewAI.
- Improve ML infrastructure, including CI/CD/CT pipelines, cloud environments, data stores, monitoring, and security.
- Operate Databricks Workflows, Kubeflow, or Airflow and integrate ML services into reliable production applications.
Requirements
- At least 3 years of hands-on experience building and deploying production ML solutions.
- Master’s degree in Computer Science or a related field.
- Strong Python proficiency across the data science and ML ecosystem, including model development, packaging, and service integration.
- Advanced experience with LLMOps, AgentOps, experiment tracking, CI/CD/CT, and ML workflow orchestration.
- Experience with AWS, Azure, or GCP-based AI/ML services and working knowledge of LangGraph, CrewAI, or similar frameworks.
- Upper-intermediate or higher English proficiency is required, both spoken and written.
Culture & Benefits
- Work at the intersection of applied research and real-world delivery.
- Collaborate with AI/ML experts, data scientists, engineers, and clients.
- Choose a remote or office-based work arrangement.
- Build production-scale solutions using current AI, cloud, and ML infrastructure technologies.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →