Computer Vision Intern

Machine Learning Reply GmbH
  • Munich
  • Post Date: October 6, 2024
    • 18608
  • Applications 0
  • Views 7
Job Overview

logoWe are looking for a skilled and motivated intern to join our team. The ideal candidate should have a technical background and be able to provide support to our clients in using cloud-based machine learning solutions, with a specific focus on Computer Vision. We are looking for someone who has a solid understanding of Software Development, has an interest in Cloud-based Solutions, and shares our passion for Data and AI.

Responsibilities:

Support the team in understanding clients’ business objectives and challenges, contributing to the identification of opportunities where AI and Computer Vision solutions can add value.Help the team in providing consulting services related to AI strategy, implementation, and best practices, ensuring alignment with business goals and industry standards.Assist in developing and testing software solutions to support AI algorithms and models, focusing on learning how to ensure robustness and reliability.Design and develop machine learning solutions, often utilizing cloud-based services on Cloud Providers like AWS, GCP, or Azure.Collaborate with cross-functional teams to implement machine learning models and algorithms.Stay up to date with the latest trends and advancements in cloud-based and Computer Vision technologies, applying new knowledge to ongoing projects.Assist the team in advising clients on strategic decisions, gaining exposure to the implementation process of suggested solutions.

What we offer you:

Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data scienceBenefit from industry-leading cooperations in the cloud, BI, and AutoML fieldVery active social program – including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathonsWork in an open, flat environment, within a broad Reply knowledge-sharing networkAward-winning office space in downtown Munich with access to “Stammstrecke”

Minimum Job Requirements / Qualifications:

Fluent in English and able to speak German at least at a B2 Level.You will be based in Munich during the full duration of the internship and studying at a German university.Interest and either practical or theoretical knowledge in the area of Artificial Intelligence projects and Cloud.Initial project experience, gained through internships or relevant academic work, in contributing to the design of Computer Vision solutions.Solid foundation in Object-oriented programming languages, and relational databases.Experience with Computer Vision algorithms for Classification, Object Detection, Tracking and others.Knowledge of relevant frameworks like OpenCV, TensorFlow , or PyTorch.Ideally, you are in the last phase of your university studies on a strong quantitative background, for example in Data Science, Informatics, Computer Science, Engineering, or similar.Ability to convincingly communicate and present analytical results to the rest of the team.We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to Data Science and MLOps. Interest and/or experience in some of those fields is an advantage.

Desired:

First knowledge of cloud technologies.Experience in at least two, but not limited to the following programming languages: Python, Java, Rust, C++, JavaScript, TypeScriptExperience and/or understanding of Data Engineering and Data Science.Certificates from Cloud Providers are an advantage. Courses on subjects related to those would be also valued.Understanding of underlying database infrastructure (data models, ETL processes).Knowledge of technologies like Kubernetes, Docker, or Spark is a plus.Interest in (agile) project management.

What are you waiting for?

Join our team at Machine Learning Reply as an AI Consultant with focus on Computer Vision in Munich!

If you have any further questions or would like to apply, please do not hesitate to write directly to Timo Jäger (ti.jaeger@reply.de) or Jonas Heepen (j.heepen@reply.de).

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