Experience:

• Over 2 years of experience as an AI engineer implementing commercial or scientific projects using LLM services

Qualification:

• Higher education in computer science or related fields
• data science
• mathematics
• econometrics
• quantitative methods

Responsibilities:

• Design and implementation of Gen AI solutions
• Building and deploying RAG and agent-based solutions using pre-built LLM models/services
• Prototyping AI applications for business users
• Development and implementation of production-level solutions
• Collaboration with clients, process analysis, requirements gathering
• Prototyping analytical solutions and testing approaches
• Presentation of concepts and business cases
• Discussion of obtained results
• Evaluation of new technologies, libraries, and approaches
• Proposing innovative solutions

Additional responsibilities:

• Conducting business conversations
• Maintaining good programming practices including code review

Nice to have:

• Experience in consulting and advisory services
• Experience in implementing data science/AI projects from inception to production launch
• Knowledge of Azure Databricks
• Knowledge of PyTorch
• Knowledge of TensorFlow
• Experience in model operationalization
• Certificates confirming skills

More skills:

Gen AI solutions, RAG techniques, LLM models/services, Streamlit, Sharepoint, natural language processing (NLP), Gitlab, CI/CD

Other:

• Participation in diverse and technologically advanced GenAI projects
• Modern technology stack and openness to implementing new solutions
• Work in a dedicated Data Science team
• Private healthcare and sports card
• Flexible work hours
• Possibility of 100% remote work
• Team-building events and company events