Machine Learning Engineer
1 miesiąc temu
Hi there We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client portfolio).
Feel invited
Experience and skills you need to join us: Team-work attitude with great communication skills.
Software development and coding skills: Python, clean code, code reviews, algorithms and data structures.
Experience with deep learning/machine learning libraries: scikit-learn, keras, pytorch, tensorflow, etc.
Understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines.
Experience with text processing and adapting Natural Language Processing-based algorithms to the problem at hand.
Familiarity with externally hosted tools and frameworks (OpenAI and similar).
Fluency in English (you will attend meetings with English speaking clients).
It would be great if you also have: Hands-on experience with LLM training and finetuning, data processing, and advanced prompting techniques.
Understanding of the latest research and tricks surrounding LLMs.
You may not meet all of the requirements above - but if you are comfortable with the majority of them we would love to see your CV
Hi there We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client portfolio).
Feel invited
,[Design, develop and implement both cutting-edge and well-established machine learning methods for content analysis, data retrieval, content classification, and others with a focus on NLP and LLM-related applications., Collaborate closely with cross-functional teams to integrate machine learning solutions into products and platforms., Work with world-class researchers and scientists to develop new machine learning methods and approaches., Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation, ensuring high-quality and scalable solutions., Interact directly with a client - a multinational e-commerce company (eBay) to report progress and plan new tasks] Requirements: Python, Machine learning, Deep learning, Natural language processing, LLM Additionally: Salaries in different currencies, 26 days of paid holidays for everyone, Training budget, Conference budget, In-house trainings, English lessons, Profit sharing, Team events, Team of experts, International projects, Flexible working hours and remote work possibility, Multisport card, Psychologist support, Integration and lunch budget, Private healthcare, Free coffee, Free breakfast, Free snacks, Free beverages, Startup atmosphere, No dress code, Modern office, Shower, Gym, In-house hack days, Bike parking.
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