ML Engineer in Bucuresti

We're seeking a highly driven Machine Learning Engineer to join our clients team and make a significant impact by developing and deploying cutting-edge algorithms for large-scale data analysis. If you're passionate about solving complex problems, pushing the boundaries of machine learning, and shaping the future of our clients products, we encourage you to apply. - we will tell you more!  What we expect from you in return: High speed and uncompromising quality in your work. A growth mindset, able to capitalise on unprecedented contexts through your skills and abilities. An appetite to grapple with a variety of technical challenges. The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios. Consistent performance over time coordinated with a matching set of values. Strong problem-solving skills that enhance the way you deal with the tension between brief and shipping. Aversion to the idea of any customer or colleague struggling with what you delivered. High tolerance for ambiguity, marked by your ambition to push forward with incomplete information. Resilience, especially in front of failure, that is always paired with pioneering work. Responsibilities: Develop new, novel algorithms and techniques for extracting and analyzing (very!) large and complex sets of data Gather and build appropriate training datasets to create and improve models. Train and evaluate your model in a massive parallel environment. Own your ML models end-to-end, from collecting training data to deployment and monitoring in production. Optimize your ML solutions for the production environment. Improve NER extraction and text classification algorithms. Perform statistical analysis of the real-world results of your models. Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often. Write well-designed, testable, efficient code. Identify areas of opportunity and improvement. Your qualifications: Previous experience improving datasets through heuristics, training and optimally deploying your models. Proficiency with Python, as well as MySQL or any relational database. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Knowledge of advanced math and statistical concepts and techniques. Previous experience with an NLP framework (Transformers, SpaCy) and ML framework (PyTorch, Sklearn, Tensorflow) would be a plus. What's in it for you: Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onward. The chance to shape an original product in a fast-growing company, backed by VC investors. A merit-based, no BS, value-oriented, and particularly collaborative work environment. Fair compensation, the possibility of ESOP, and upward salary growth based on performance. Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are. The promise to use the right tool for the job to be able to channel your efforts on what cant be compensated for the best use of your skills and abilities. The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them.