Software Engineer (Machine Learning) Bardi

Software Engineer (Machine Learning)
Bardi
Emilia Romagna, Bardi

We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities Design, build and test Machine Learning models, such as supervised ensemble models (Random Forest, XGBoost, CatBoost, etc. ) as well as Deep Learning models Deploy ML models, exposing model predictions through API Come up with ML solutions to constantly optimize our work pipeline and replace time-consuming processes Perform statistical analysis and fine-tuning using test results and develop tools to aid in the post-deployment assessment of our ML products Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Select appropriate datasets and data representation methods Train and retrain systems when necessary Requirements 3 years of experience in developing ML / DL models Solid programming skills and understanding of software architecture, understanding of data structures, data modeling Solid knowledge of the most common ML Python libraries (scikit-learn, Keras, Tensorflow) Familiarity with Jupyter notebooks, PyCharm, and REST API Ability to work autonomously and to balance multiple projects and deadlines Good communication skills and ability to explain statistics and ML concepts to both internal and external stakeholders in a simple and intuitive manner Proven experience as a Machine Learning Engineer or similar role Deep knowledge of maths, probability, statistics, and algorithms Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master's degree is a plus Benefits Private Health Insurance Paid Time Off Hybrid work solution 60% from home Training & Development J-18808-Ljbffr