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-expected :
At least 8+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.) and 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, LLM orchestrators and concepts, LLM evaluators, validators, and guardrails, LLMOps concepts like GenAI operationalization-scaling
Experience in developing GenAI apps in rapid frameworks (e.g., Streamlit) and 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
English at least B2
offered :
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
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
corporate library
no dress code
video games at work
coffee / tea
drinks
parking space for employees
leisure zone
extra social benefits
holiday funds
employee referral program
Non-corporate atmosphere
Freedom to choose your working model (HO/hybrid/office)
