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AI Cloud Architect
Odpowiedz na ogłoszenieTasks:- 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
Requirements:- 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 2 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
Requirements:- 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 2 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
We offer:- 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.
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