Informacje o stanowisku

technologies-expected :

• Python
• AI
• MLOps
• GenAI
• LLM
• Docker
• Kuberntes
• AzureAI
• MLFlow

• AI products & services development and deployment
• Building solutions and applications using various AI methods
• MLOps platform delivery – delivery and scaling of existing use cases
• Work with cross-functional business teams to identify areas for AI products
• Stay up to date with AI related latest advancements and trends
• Evaluate AI standards and policies to ensure compliance with relevant regulations and best practices

• At least 2 years of experience
• Hands on in design, code, experiment and implement ML models and algorithms
• Python proficiency
• Strong understanding of deep learning principles and neural network architectures
• Knowledge of various machine learning and deep learning algorithms
• Experience and understanding how to design, train, fine-tune and deploy AI/ML models
• Knowledge of GenAI, LLM’s and transformer models
• Experience in LLM models deployment
• Understanding RAG, LangChain or similar frameworks
• Experience with cloud-based AI services e.g. AzureAI
• Knowledge of containerization technologies e.g. Docker, Kubernetes
• Basic knowledge of development and maintenance Data & AI pipelines
• MLOps principles knowledge and proven experience in machine learning models deployment
• Knowledge and experience data-oriented workflow orchestration frameworks e.g. MLflow, Airflow, etc.
• Ability to develop simple UI to interact with prototypes
• Knowledge of data processing and data preparation for AI models
• English - at least B2+

• Employment contract
• Additional day off on the occasion of birthdays/namedays
• Medical package and life insurance
• Benefit platform - you choose what you benefit from
• Access to training platforms to improve your knowledge
• I know Talent - training or money for referring friends to work !
• Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• corporate products and services at discounted prices
• integration events
• mobile phone available for private use
• no dress code
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• holiday funds
• birthday celebration
• sharing the costs of a streaming platform subscription
• employee referral program
• charity initiatives
• extra leave
• Benefit Platform

Warszawa - Oferty pracy w okolicznych lokalizacjach