Intern machine learning engineer állások, munkák it programozás, fejlesztés területen

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

Tasks and responsibilities: •Maintain Tableau dashboards and upgrade their data sources to apply new database features •Migrate views in database to an updated table structure, apply backend table structure changes in the view layer •Support database cleanup and impact analysis •Collaborate with...

• Support the development of the Taxonomy database
• Learn how digital product hierarchies and analytics are directly correlated
• Performs assigned database duties both independently and as a member of a team
• Assisting with transfer of database information from application to web interface

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

• You will work on Data, Data Analytics, AI and Automation topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally
• You will learn through knowledge sharing, trainings and on the job experiences.

Join a client service team for 8-10 weeks, contributing to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy and create actionable plans that drive real change Work alongside clients and McKinsey colleagues combining research, data analysis, interviews,...

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

- Cooperation with setup and implementation of prototype-systems for radiated coexistence test systems - Realization of test measurement with our prototype-system - Evaluation of measurement results and characterization of systematic and statistic measurement errors - Assisting with the software...

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

• Supporting the definition and creation of ASPICE-compatible processes.
• Supporting the development teams in the application of ASPICE-compliant processes
• Supporting to program automation of test execution framework
• Supporting the team by creating test configurations, execution of tests

Being part of a sw development team, which develop and operate a cloud native application Collaborate with teammates to determine functional and non-functional requirements for new software modules Write automated unit tests that ensure product quality Write automated test cases and adopt clean...

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Mitgestaltung von Forschungsprojekten in den Forschungsschwerpunkten New Work und Social Collaboration, digitaler Gesundheit, intelligenter Systeme und Data Analytics sowie Mensch-KI-Interaktion Erstellung wissenschaftlicher Publikationen Ausarbeitung von Drittmittelanträgen Gestaltung von...

• Create fully automated workflows from image acquisition to image analysis
• Collaborate with data scientists to implement hardware automation and computer vision pipelines
• Control microscopes and preprocess images for object detection and segmentation

Join our junior team assisting with our latest projects Work with source code and apply development processes Attend online brainstorming sessions regularly Learn best practices and key technologies to quickly become productive...

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• Collaborate on developing and implementation of post-hoc explainable AI models for computer vision models
• Exploring and benchmarking of XAI algorithms for vision language models
• Investigate potential of large language models for concept based XAI

• Drive results: Use insights, analytics, and experimentation to optimize the funnel, increase conversion, and accelerate time-to-value.
• Innovate with AI: Explore AI and emerging technologies to enhance the user experience, test hypotheses, and scale successful experiments.