At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML) Show more Show less