Acaisoft is a place where amazing people (like you) work together to create a productive and fun environment. With us, you’ll get the space to develop yourself further and deepen your knowledge of new technologies with exciting projects from such fields as IoT and Big Data. Our customers range from startups to large enterprises based in the US, mainly Silicon Valley, and Western Europe.
Our Team is growing rapidly and always looks for new tech talents to welcome onboard. Are you the one? Join the crew and become our LLM Data Scientist!
responsibilities :
Turning LLMs.
Cooperating with a client and his team.
Prototyping various solutions - experience in research, proof of concept, and implementation of projects in production is welcome.
Working on multiple external data sources.
requirements-expected :
5+ years of work as a Data Scientist.
Knowledge of Langchain and Snowflake.
Hands-on experience with projects related to natural language processing, machine learning, or related fields.
Azure experience.
offered :
Flexibility - working hours are flexible just like the work mode, you can work remotely or in a hybrid model from our modern office in Warsaw.
Great atmosphere - we value a friendly, informal atmosphere, and direct contact with everyone in the company.
Outstanding People - we understand that great teams are about personalities, not just skills. Therefore our team accommodates a fantastic blend of individuals and management that removes roadblocks.
Modern technologies - we use proven technologies that are currently up-to-date. Even if you have not used all of them, you can make up for it with us!
Unlimited possibilities - you’ll get the opportunity to develop your qualifications thanks to sponsorship for industry meetups and conferences and working on challenging international projects with the latest technologies.
Private medical care and Multisport - we care about your health and wellbeing so you’ll get access to private medical care for you and your family, and partial funding for a sports card.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
