3 дня назад
Lead ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead ML Engineer (AI): Defining technical direction and delivering production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, with an accent on architecture, observability, and cloud deployment. Focus on designing multi-agent systems, governing CI/CD/CT pipelines, and leading ML engineering teams and client-facing technical strategy.
Location: Bulgaria, Poland, or Ukraine; remote or office work
Company
is an engineering and technology services company delivering AI, data science, and software solutions for global clients.
What you will do
- Define technical standards and architecture for scalable, reliable end-to-end ML systems.
- Oversee production-ready LLMOps pipelines with MLflow, LangSmith, Langfuse, or Weights & Biases.
- Translate business requirements into ML solutions for NLP, RAG systems, and multimodal models.
- Architect and oversee production-scale multi-agent systems using LangGraph or CrewAI.
- Govern CI/CD/CT practices, cloud infrastructure, monitoring, security, and workflow orchestration.
- Mentor ML Engineers and contribute to technical strategy, client engagements, and innovation initiatives.
Requirements
- Strong Python proficiency and experience building and deploying complex ML systems in production.
- Deep expertise in LLMOps, AgentOps, experiment tracking, and related tools.
- Experience deploying cloud-based AI/ML solutions on AWS, Azure, or GCP.
- Advanced knowledge of agentic AI frameworks, especially LangGraph or CrewAI.
- Experience leading or mentoring ML Engineering teams and establishing engineering best practices.
- Strong spoken and written English required. A Master’s degree in Computer Science or a related field is required.
Culture & Benefits
- Work within an AI and Data Science Center of Excellence.
- Collaborate with Data Scientists, Engineers, clients, and executive stakeholders.
- Contribute to a culture of engineering excellence and continuous learning.
- Equal opportunity employment regardless of legally protected characteristics.
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