T Hub - Senior AI Engineer [GenAI, LLM]
technologies-expected :
- Python
- PyTorch
- GenAI
- LLM
- LangChain
- TenserFlow
responsibilities :
- Lead the design, development and deployment of AI products & services
- Cross-functional collaboration with engineers and business across different domains
- Collaborate with stakeholders to design LLM-based solutions that meet business requirements and enhance performance
- Participate in all phases of LLM-based solutions development and deployment
- Develop innovative methods and advance techniques to build and deploy NLP solutions in various environments (cloud, on-premises)
- Serve as a mentor and provide technical guidance to the team to help solve complex technical challenges
requirements-expected :
- Background in software engineering, computer science, mathematics, statistics, physics, etc.
- At least 7 years of experience
- Proficiency with Python and experience with machine learning libraries such as PyTorch/Tensorflow/Hugging Face Transformers
- Ability to quickly prototype and iterate on software products
- Experience deploying machine learning models in production environments
- Familiarity with latest GenAI/LLM advances
- Experience with: word embeddings, transfer learning, in-context learning, information retrieval and knowledge graphs
- Strong technical expertise in machine learning algorithms, deep learning principles and frameworks and software engineering best practices
- Applied experience using frameworks such as LangChain to build LLM products
- Experience and best practices knowledge in LLM models development and deployment in production environments
- Ability to work independently
- Analytical and creative mind, proactive approach
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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