T Hub - AI / ML Engineer
technologies-expected :
- Python
- AI
- MLOps
- GenAI
- LLM
- Docker
- Kuberntes
- AzureAI
- MLFlow
responsibilities :
- 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
requirements-expected :
- 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+
offered :
- 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
benefits :
- 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
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