Machine Learning Engineer
Há 5 dias
As a Machine Learning Engineer at Seven Tech Hub, you will be part of a dynamic team that drives innovation and cutting-edge solutions for the ProSiebenSat.1 Group. Your role will involve collaborating with stakeholders across various business units to integrate artificial intelligence as a pivotal support tool across our entire value chain.
Key Responsibilities- Design and implement machine learning and deep learning techniques to drive business impact
- Facilitate the use of statistical data analysis and NLP to extract meaningful business insights
- Design data processing pipelines and identify automation use cases
- Manage the development of serverless applications with tasks ranging from database management to data delivery
- Elevate your expertise on state-of-the-art AI/ML cloud platforms and features such as infrastructure as code, CI/CD pipelines, event-driven/serverless architecture, and separate processing pipelines for ETL, model training, and inference
- University degree in information technology, computer science, or a related technical field
- First practical experience in machine learning, including classical machine learning and deep learning models
- Prior hands-on familiarity with databases (PostgreSQL, DynamoDB, MongoDB) and AWS, as well as tools like FastAPI and GraphQL
- Affinity for CI/CD and MLOps tools like Metaflow or MLflow
- Proven ability to work effectively in an agile setup, collaborating with cross-functional teams
- Fluent in English (Portuguese and/or German language proficiency is a plus)
- Become part of a leading media company and contribute to creating real emotions among our viewers and customers
- Join our transformation journey as we work to create a world-class technology hub
- Benefit from 25 days of vacation per year, a great flexibility, and the possibility of mobile working thanks to our hybrid working model
- Enjoy an open and diverse company culture with flat hierarchies, a modern and appreciative working environment, and no formal dress code
- Take advantage of our wide range of training and development opportunities
- Join our P7S1 employee networks and get engaged in a topic you are passionate about
- Make the best of our structured career path to support your personal development and growth
We are looking forward to your application. Apply within 5 minutes via our job portal. Your profile doesn't fit 100%? No worries, apply anyway. We support your professional and personal development on the job.
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