38 минут назад
Senior Machine Learning Engineer (LLMOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (LLMOps): Engineering and productionizing end-to-end ML systems, including data pipelines, LLMOps infrastructure, NLP, RAG, and multimodal AI solutions with an accent on production reliability, observability, and scalable cloud deployment. Focus on designing agentic multi-agent workflows, orchestrating ML pipelines, and integrating autonomous AI services into maintainable production applications.
Location: Poland; remote or office-based work
Company
delivers engineering, AI, and data science solutions for clients through its AI and Data Science Center of Excellence.
What you will do
- Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, optimization, and production deployment.
- Build and maintain LLMOps pipelines with MLflow, Langfuse, LangSmith, or Weights & Biases for observability, reproducibility, and prompt versioning.
- Translate business requirements into production-ready NLP, RAG, and multimodal AI solutions with data scientists, engineers, and clients.
- Develop and orchestrate agentic systems and multi-agent workflows using frameworks such as LangGraph and CrewAI.
- Manage ML infrastructure, including CI/CD/CT pipelines, cloud environments, data stores, monitoring, security, and workflow orchestration.
- Package and integrate ML services into reliable, maintainable applications and automate pipeline execution with Databricks, Kubeflow, or Airflow.
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 skills across data science and ML development, packaging, and service integration.
- Advanced experience with LLMOps, AgentOps, experiment tracking, CI/CD/CT, and ML workflow orchestration.
- Experience with AI/ML cloud services on AWS, Azure, or GCP and working knowledge of agentic AI frameworks.
- Upper-intermediate English or higher, spoken and written, is required.
Culture & Benefits
- Work within an AI and Data Science Center of Excellence with more than 170 AI/ML experts.
- Collaborate with data scientists, engineers, and clients across applied research and real-world delivery.
- Choose a remote or office-based work arrangement in Poland.
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