Your contribution to something big:Identify business problems and solve them by finding data and methods, resulting in measurable business improvements. Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models. Deploy and continuously monitor the solution to ensure business impact Exchange with other ML engineers, data-scientists, business stakeholders, HW and SW experts that will help you delivering valuable and robust solutions.?? Find out more about the project here Qualifications. What distinguishes you: Completed degree in mathematics, computer science, physics, software. Knowledge in machine learning model development, evaluation and optimization. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. Experience with Python and relevant libraries (Pytorch, Tensorflow, Sklearn, Scipy, Numpy, Pandas, Matplotlib, Pyplot, Dask, QT, Streamlit, Holoviz, ML - Flow and DVC)Experience with code versioning tools, like Git. Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Knowledge with signal processing techniques (filtering, resampling, etc). Familiar with data structures, data modeling, and software architecture Interest in working in distributed teams using agile development methods. Strong team skills, very good communication skills, goal-oriented. Motivated and creative with high analytical skills, product-focused and customer-centric mindset. Analytical and problem-solving skills. Very good language skills in English (written and spoken).