AI Cloud Architect

Tasks:

• 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

• UML notation

• Good communication skills

• Ability to work in a team and support others

• Taking responsibility for tasks and deliverables

• Great problem-solving skills and critical thinking

• Fluency in written and spoken English. 

Nice to have skills & knowledge:  

• Experience in designing, programming ML algorithms, and data processing pipelines using Python

• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)

• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.

• BPMN, Archimate 

We offer:

• Stable employment. On the market since 2008, 1500+ 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.