Computer Vision & Data Science Praktikum / Internship - IoT Startup

☞ Livello Technologies

View: 180

Update day: 22-10-2024

Location: Düsseldorf North Rhine-Westphalia

Category: IT - Software

Industry: IT Services IT Consulting

Position: Entry level

Job type: Contract

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Job content

Requirement: 6+ Month mandatory internship for University

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 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.

Tasks
  • 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 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
  • Studies in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
  • 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 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 software 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.
Benefits
  • A responsible position in a fast growing and highly innovative start-up
  • Young, agile and diverse team with colleagues from all over the world
  • English speaking open work environment, with flat hierarchies and short decision-making paths
  • Cool dog friendly office in Düsseldorf prime location with lots of shopping/restaurant options nearby
  • Advanced technology stack leveraging cutting edge IoT hardware and software
  • Plenty of creative freedom for own ideas, projects and personal development
  • Team building, learning and start-up events
  • Free coffee, water, food, fruits and snacks on daily basis
Livello is building the future of autonomous retail and smart inventory management. We are developing a revolutionary IoT Platform and telemetric Smart Kiosks with state-of-the-art smart shelving and monitoring technology, leveraging newest concepts and engineering principles like automation, autoscaling, resilience, real time monitoring, sensor fusion, computer vision, machine learning and deep analytics. Our stack consists of modern Javascript, Typescript, Node.Js, React & Redux, Docker, containers, client libraries, GraphQL, all built on a microservice-based Kubernetes architecture, supported by the Google Cloud Platform. We strongly believe in the power of CI/CD and integrate and deploy our applications with modern tools from Gitlab.
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Deadline: 06-12-2024

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