Requirements: English
Company: AICONIC
Region: Wysokie Mazowieckie , Podlaskie Voivodeship
We partner with the most important companies and institutions in the world to transform how they use data and technology. If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of technology with the top minds in the field, you'll find it here. Develop data science products and solutions for clients as well as for our data science team Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization, sales forecasting, marketing mix modelling, churn prediction, etc. Collaborating with data and subject matter experts from AICONIC and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Its challenging since it needs to be done whilst keeping waste reduction and optimal stock holding. At least 2-5 years of professional experience as Data Scientist MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning). Proficiency in Python and objected-oriented programming. Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Ability to drive a project and work both independently and in a cross-functional team. Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment. Track record of delivered AI projects, forecasting projects Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. A portfolio of projects (GitHub, papers, etc.). Work from anywhere (home, office, etc.)~ 000 PLN/month +VAT on a B2B contract ~Startup atmosphere, less documentation and rules, we are open to experimenting and learning ~ Never alone in a project - always together 2 people at least ~ Home assignment Tech Interview