4 дня назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI/ML Operations): Implementing machine learning models, GenAI solutions, and enterprise AI agents in production with an accent on Microsoft Copilot Studio, Azure AI Foundry, LLM integrations, and industrialized processing pipelines. Focus on designing RAG and knowledge-grounding workflows, integrating Azure and Power Platform services, and managing ML/LLM operations across deployment environments.
Location: Remote or office work depending on location.
Company
is a data, analytics, and AI organization with more than 1,500 employees across seven global sites.
What you will do
- Work with Data Science teams to implement machine learning models in production.
- Design and deliver GenAI solutions and enterprise AI agents.
- Develop scalable LLM, ML, and AI automation solutions.
- Design, deliver, and manage industrialized data processing pipelines.
- Define and implement best practices for ML model lifecycle management, MLOps, and LLMOps.
- Gather technical requirements, estimate planned work, present solutions to clients, and create technical documentation.
Requirements
- At least 5 years of hands-on experience with Microsoft Copilot Studio or Azure AI Foundry, including enterprise AI agent development.
- Strong knowledge of topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding.
- Experience integrating Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI or Foundry models.
- Experience with citations, metadata-based retrieval, multilingual handling, prompt and instruction design, and agent troubleshooting.
- Knowledge of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments is advantageous.
Culture & Benefits
- Remote or office work options depending on location, with flexible working hours and contract preferences.
- Stable employment in an organization operating since 2008.
- Online onboarding with a buddy, access to Udemy, certificate training, and ongoing upskilling programs.
- Access to engineering experts, competency centers, knowledge-sharing sessions, and community webinars.
- Inclusive, diverse, values-driven community with autonomy in how work is performed.
- Well-being support, modern office equipment, and opportunities to participate in charitable and environmental initiatives.
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