T Hub
1 tydzień temu
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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