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AI Cloud Architect in Lingaro

Posted more than 30 days ago

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Lingaro

Lingaro

0
0 reviews
Without experience
Warsaw
Full-time work
Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. “Office as an option” model. You can choose to work remotely or in the office. Great Place to Work®  certified employer.​​​​​​​  Flexibility regarding working hours and your preferred form of contract.    Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts.    Unlimited access to the Udemy learning platform from day 1. Certificate tr
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.
  • Great Place to Work®  certified employer.​​​​​​​ 
  • Flexibility regarding working hours and your preferred form of contract.   
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.   
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. 
  • Internal Gallup Certified Strengths Coach to support your growth.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together.  Refer your friends to receive bonuses.
  • Activities to support your  well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.
    • At least 8+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
    • At least 8+ years of experience in production-ready ML-related code development
    • At least 4+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval Augmented Generation concept (RAG)
    • At least 3+ years of experience in Cloud Architecture
    • Good understanding and experience with GenerativeAI models APIs (Large Language Models/Large Multimodal Models)
    • Good understanding and experience with LLM orchestrators (e.g., Langchain, etc.) and concepts (RAG, in-context learning, fine-tuning)
    • Good understanding of LLM evaluators, validators, and guardrails
    • Good understanding of LLMOps concepts like GenAI operationalization\scaling (e.g., LLMs serving, performance & API Gateways, LLMs tracking & monitoring)
    • Experience in developing GenAI apps in rapid frameworks (e.g., Streamlit)
    • Experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI
    • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
    • Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP
    • UML notation
      • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
      • “Office as an option” model. You can choose to work remotely or in theoffice.
      • Great Place to Work®  certified employer.​​​​​​​ 
      • Flexibility regarding working hours and your preferred form of contract.   
      • Comprehensive online onboarding program with a “Buddy” from day 1.
      • Cooperation with top-tier engineers and experts.   
      • Unlimited access to the Udemy learning platform from day 1.
      • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
      • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. 
      • Internal Gallup Certified Strengths Coach to support your growth.
      • Grow as we grow as a company. 76% of our managers are internal promotions.
      • A diverse, inclusive, and values-driven community.
      • Autonomy to choose the way you work. We trust your ideas.
      • Create our community together.  Refer your friends to receive bonuses.
      • Activities to support your  well-being and health.
      • Plenty of opportunities to donate to charities and support the environment.
      • Modern office equipment. Purchased for you or available to borrow, depending on your location.
      ,[Building high-performing, scalable, enterprise-grade LLM/AI applications in cloud environment , Working with Data Science teams to analyze requirements, build architecture conceptions, lead a implementation GenerativeAI and Machine Learning models into production (Tech Lead) , Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency , Design, delivery and management of industrialized processing pipelines , Defining and implementing best practices in GenAI/ML models life cycle and ML operations/LLM operations , Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices , Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations , Gathering technical requirements & estimating planned work , Presenting solutions, concepts and results to internal and external clients , Creating technical documentation including diagrams] Вимоги: Python, Machine learning, Large Language Model, Azure, Microservices, API, MLOps, AI, GenerativeAI Інструменти: Agile. Бонуси та переваги: Sport subscription, Private healthcare, International projects, Free coffee, No dress code, In-house trainings.
Without experience
Warsaw
Full-time work
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