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About the role
Role Overview: At Livello, you will be working on building machine-learning-based demand forecasting tools and computer-vision-based multi-camera product recognition solutions. Your primary focus will be on detecting people and products to track inserted/removed items on shelves based on hand movement. You will also play a key role in determining real-time inventory levels and predicting reorders to ensure timely delivery of the right products to the right locations to meet customer demand. Key Responsibilities: - Lead the Computer Vision (CV) and Data Science (DS) Team - Work on product and people recognition using Computer Vision and Machine Learning techniques - Formulate and develop Machine Learning models to solve complex problems - Keep up-to-date with the latest algorithmic improvements in forecasting and predictive areas - Conduct statistical data modeling and machine learning research - Conceptualize, implement, and evaluate algorithmic solutions for supply forecasting, inventory optimization, and sales prediction - Conduct applied research to model complex dependencies and predictive modeling - Conceive, design, and implement new features - Ensure quality assurance of software through planning and execution of tests - Collaborate with a cross-functional team to define, build, test, and deploy applications Qualifications Required: - Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science, or related fields - 3-4 years of experience in computer vision and data science - Strong technical background in applied data science, including machine learning algorithms, statistical analysis, predictive modeling, and optimization techniques - Experience in building production-quality Computer Vision and Data Science products - Proficiency in image processing, algorithms, and neural networks - Knowledge of tools, libraries, and cloud services for Data Science, preferably Google Cloud Platform - Solid Python engineering skills with experience in Python, Tensorflow, and Docker - Ability to work cooperatively and independently with an analytical mindset and a willingness to take responsibility - Fluency in English, both written and spoken Role Overview: At Livello, you will be working on building machine-learning-based demand forecasting tools and computer-vision-based multi-camera product recognition solutions. Your primary focus will be on detecting people and products to track inserted/removed items on shelves based on hand movement. You will also play a key role in determining real-time inventory levels and predicting reorders to ensure timely delivery of the right products to the right locations to meet customer demand. Key Responsibilities: - Lead the Computer Vision (CV) and Data Science (DS) Team - Work on product and people recognition using Computer Vision and Machine Learning techniques - Formulate and develop Machine Learning models to solve complex problems - Keep up-to-date with the latest algorithmic improvements in forecasting and predictive areas - Conduct statistical data modeling and machine learning research - Conceptualize, implement, and evaluate algorithmic solutions for supply forecasting, inventory optimization, and sales prediction - Conduct applied research to model complex dependencies and predictive modeling - Conceive, design, and implement new features - Ensure quality assurance of software through planning and execution of tests - Collaborate with a cross-functional team to define, build, test, and deploy applications Qualifications Required: - Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science, or related fields - 3-4 years of experience in computer vision and data science - Strong technical background in applied data science, including machine learning algorithms, statistical analysis, predictive modeling, and optimization techniques - Experience in building production-quality Computer Vision and Data Science products - Proficiency in image processing, algorithms, and neural networks - Knowledge of tools, libraries, and cloud services for Data Science, preferably Google Cloud Platform - Solid Python engineering skills with experience in Python, Tensorflow, and Docker - Ability to work cooperatively and independently with an analytical mindset and a willingness to take responsibility - Fluency in English, both written and spoken