Senior AI/ML Engineer in Nexro

About NexroWeare astartup predicting the future for music artists and their teams. With our technology, artists can see the predicted career changes and understand how they can grow their careers. Wedothis bygathering data from various platforms, like social media, streaming and radio, and using our AImodels.The team islocated mainly inNorway but weoperate remotely. The CEO isfrom Kyiv, Ukraine, and other team members represent 4countries. Why apply?Weare looking for people with passion and eager tohelp Nexro bring its product tolife. Weencourage you toapply even ifyour experience doesn’t match all requirements listed.Are you adedicated professional with apassion for machine learning and its potential torevolutionize the music industry? Doyou thrive inacompetitive and cutting-edge environment? Are you intrigued byearly-stage projects, constantly changing work environments and product development? Asapart ofNexro you will beanessential asset inbringing our product tolaunch. You will beapart ofour technological drive while working alongside strategic decisions, partners and future customers. Autonomy and determination iscritical inthis position asweare asmall team with big milestones ahead. You would bejoining asmall flexible team where all have their responsibilities, everyone isworking towards the same goal.Requirements:—Over 3years ofcommercial experience inData Science and Machine Learning, showcasing expertise intime series forecasting.—Proficiency inPython with afocus onOOP, demonstrating the ability towrite modular and easily understandable code.—Hands-on experience with multivariate forecasting models.—Mathematical background, particularly inoptimization methods.—Experience with Python libraries such asNumPy, pandas, and PyTorch/ TensorFlow for machine learning tasks.—Proficiency inmanaging and querying both SQL and NoSQLdatabases.—Familiarity with Git.Nice tohave:—Experience with cloud platforms, particularly Google Cloud Platform and Azure.—Understanding ofCI/CDprinciples.—Practical experience with Flask and Docker frameworks.—Bachelor’s orMaster’s degree inComputer Science, Data Science, Mathematics, Statistics, orarelated field.—Familiarity with Model Interpretability algorithms.